Difference between pages "Upcoming events" and "Past Selected Articles"

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Here is a BY DATE listing of '''upcoming conferences and training events''' that pertain to [[digital forensics]]. Some of these duplicate the generic [[conferences]], but have specific dates/locations for the upcoming conference/training event.
+
''Archived past selected research articles''
  
<b> The Conference and Training List is provided by the American Academy of Forensic Sciences (AAFS) Digital and Multi-media Listserv</b>
+
<small>July 2011</small>
<i> (Subscribe by sending an email to listserv@lists.mitre.org with message body containing SUBSCRIBE AAFS-DIGITAL-MULTIMEDIA-LIST)</i>
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<bibtex>
<b> Any requests for additions, deletions or corrections to this list should be sent by email to David Baker <i>(bakerd AT mitre.org)</i>. </b>
+
@article{fiorillo-flash,
 +
title="Theory and practice of flash memory mobile forensics",
 +
year=2009,
 +
author="Salvatore Florillio",
 +
  url="http://ro.ecu.edu.au/adf/67/",
 +
publisher="School of Computer and Information Science, Edith Cowan University, Perth, Western Australia",
 +
abstract="This paper is an introduction to flash memory forensics with a special focus on completeness of evidence acquired from mobile phones. Moving through academic papers and industrial documents will be introduced the particular nature of non-volatile memories present in nowadays mobile phones; how they really work and which challenges they pose to forensic investigators. Then will be presented an advanced test in which some brand new flash memories have been used to hide data in man-made bad blocks: the aim is to verify if forensic software tools are able to acquire data from such blocks, and to evaluate the possibility to hide data at analysts’ eyes."
 +
}
 +
</bibtex>
  
== Calls For Papers ==
 
{| border="0" cellpadding="2" cellspacing="2" align="top"
 
|- style="background:#bfbfbf; font-weight: bold"
 
! Title
 
! Due Date
 
! Website
 
|-
 
|Recent Advances in Intrusion Detection (RAID) 2007
 
|Mar 31, 2007
 
|http://www.isi.qut.edu.au/events/conferences/raid07/cfp/
 
|-
 
|Digital Forensic Research Workshop 2007
 
|**EXTENDED ONE WEEK TO APRIL 09, 2007**
 
|http://dfrws.org/2007/cfp.html
 
|-
 
|Black and White Ball
 
|Apr 30, 2007
 
|http://www.theblackandwhiteball.co.uk/cfp.php
 
|-
 
|BlackHat USA 2007
 
|May 01, 2007
 
|http://www.blackhat.com/html/bh-usa-07/bh-usa-07-cfp.html
 
|-
 
|International Conference on Incident Management and IT-Forensics
 
|May 14, 2007
 
|http://www.gi-ev.de/fachbereiche/sicherheit/fg/sidar/imf/imf2007/cfp_en.html
 
|-
 
|First Annual European DeepSec In-Depth Security Conference
 
|Jun 10, 2007
 
|http://deepsec.net/cfp/
 
|-
 
|DFRWS 2007 File Carving Challenge
 
|Jul 09, 2007
 
|http://www.dfrws.org/2007/challenge/submission.html
 
|-
 
|}
 
  
== Conferences ==
+
<small>June 2011</small>
{| border="0" cellpadding="2" cellspacing="2" align="top"
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<bibtex>
|- style="background:#bfbfbf; font-weight: bold"
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@PhDThesis{Kessler2010,
! Title
+
title="Judges’ Awareness, Understanding, and Application of Digital Evidence",
! Date/Location
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author="Gary Craig Kessler",
! Website
+
year=2010,
|-
+
institution="Graduate School of Computer and Information Sciences Nova Southeastern University",
|2nd Workshop on Systematic Approaches to Digital Forensic Engineering
+
url="http://www.forensicswiki.org/wiki/File:Kessler_judges%26de.pdf"
|Apr 10-12, Seattle, WA
+
}
|http://conf.ncku.edu.tw/sadfe/cfp.htm
+
</bibtex>
|-
+
|First Workshop on Hot Topics in Understanding Botnets (HotBots '07)
+
|Apr 10, Cambridge, MA
+
|http://www.usenix.org/events/hotbots07/
+
|-
+
|CanSecWest 2007
+
|Apr 16-20, Vancouver, BC, Canada
+
|http://cansecwest.com/
+
|-
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|Conference on Digital Forensics, Security and Law
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|Apr 18-20, Washington, DC
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|http://www.digitalforensics-conference.org/
+
|-
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|IACIS Computer Forensic Training Event 2007
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|Apr 23-May 04, Orlando, FL
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|http://www.iacis.com/iacisv2/pages/training.php
+
|-
+
|Computer and Enterprise Investigations Conference (CEIC)
+
|May 06-09, Las Vegas, NV
+
|http://www.ceic2007.com/
+
|-
+
|CONFidence 2007
+
|May 13-14, Cracow, Poland
+
|http://2007.confidence.org.pl/
+
|-
+
|22nd IFIP International Information Security Conference
+
|May 14-16, Sandton, South Africa
+
|http://www.sbs.co.za/ifipsec2007/
+
|-
+
|Texas Regional Infrastructure Security Conference (TRISC)
+
|May 15-17, Austin, TX
+
|http://www.trisc.org/
+
|-
+
|2007 Techno-Security Conference
+
|Jun 03-06, Myrtle Beach, SC
+
|http://www.techsec.com/html/Techno2007.html
+
|-
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|Computer Security Institute NetSec '07
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|Jun 11-13, Scottsdale, AZ
+
|http://www.gocsi.com/netsec/
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|-
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|2007 USENIX Annual Technical Conference
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|Jun 17-22, Santa Clara, CA
+
|http://www.usenix.org/events/
+
|-
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|Third Government Forum of Incident Response and Security Teams Conference
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|Jun 25-29, Orlando, FL
+
|http://www.us-cert.gov/GFIRST/index.html
+
|-
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|First International Workshop on Cyber-Fraud
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|Jul 01-06, San Jose, CA
+
|http://www.iaria.org/conferences2007/CYBERFRAUD.html
+
|-
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|Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA) 2007
+
|Jul 12-13, Lucerne, Switzerland
+
|http://www.gi-ev.de/fachbereiche/sicherheit/fg/sidar/dimva/
+
|-
+
|16th USENIX Security Symposium
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|Aug 06-10, Boston, MA
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|http://www.usenix.org/events/
+
|-
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|GMU 2007 Symposium
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|Aug 06-10, George Mason University, Fairfax, VA
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|http://www.rcfg.org
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|-
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|Digital Forensic Research Workshop 2007
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|Aug 13-15, Pittsburgh, PA
+
|http://www.dfrws.org/2007/index.html
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|-
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|HTCIA 2007 International Training Conference & Exposition
+
|Aug 27-29, San Diego, CA
+
|http://www.htcia-sd.org/htcia2007.html
+
|-
+
|Recent Advances in Intrusion Detection (RAID) 2007
+
|Sep 05-07, Gold Coast, Queensland, Australia
+
|http://www.isi.qut.edu.au/events/conferences/raid07
+
|-
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|14th International Conference on Image Analysis and Processing (ICIAP 2007)
+
|Sep 10-14, Modena, Italy
+
|http://www.iciap2007.org
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|-
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|3rd International Conference on IT-Incident Management & IT-Forensics
+
|Sep 11-12, Stuttgart, Germany
+
|http://www.imf-conference.org/
+
|-
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|Black and White Ball
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|Sep 25-28, London, UK
+
|http://www.theblackandwhiteball.co.uk/
+
|-
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|Techno-Forensics Conference
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|Oct 29 - 31, Rockville, MD
+
|http://www.techsec.com/html/TechnoForensics2007.html
+
|-
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|DeepSec IDSC
+
|Nov 22-24, Vienna, Austria
+
|http://deepsec.net/
+
|-
+
|}
+
  
== On-going / Continuous Training ==
+
<small>Spring 2011</small>
{| border="0" cellpadding="2" cellspacing="2" align="top"
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[[Solid State Drive (SSD) Forensics]]<br>
|- style="background:#bfbfbf; font-weight: bold"
+
We now have a new page on SSD forensics. The page has some basic information and a growing bibliography. One of the first entries is:
! Title
+
<!-- ARTICLE GOES HERE -->
! Date/Location or Venue
+
<bibtex>
! Website
+
@inproceedings{wei2011,
|-
+
  author = {Michael Wei and Laura M. Grupp and Frederick M. Spada and Steven Swanson},
|Basic Computer Examiner Course
+
  title = {Reliably Erasing Data from Flash-Based Solid State Drives},
|Computer Forensic Training Online
+
  booktitle={FAST 2011},
|http://www.cftco.com
+
  year = 2011,
|-
+
  keywords = {erasing flash security ssd},
|MaresWare Suite Training
+
  added-at = {2011-02-22T09:22:03.000+0100},
|First full week every month, Atlanta, GA
+
  url={http://cseweb.ucsd.edu/users/m3wei/assets/pdf/FMS-2010-Secure-Erase.pdf},
|http://www.maresware.com/maresware/training/maresware.htm
+
  biburl = {http://www.bibsonomy.org/bibtex/27c408ad559fc19f829717f485707a909/schmidt2}
|-
+
}
|Linux Data Forensics Training
+
</bibtex>
|Distance Learning Format
+
<!--END OF ARTICLE-->
|http://www.crazytrain.com/training.html
+
(Past selected articles [[Past Selected Articles|are archived here]].)
|-
+
<!-- END OF NEWS -->
|}
+
</div>
  
== Scheduled Training Courses ==
+
<small>JULY-2010</small>
{| border="0" cellpadding="2" cellspacing="2" align="top"
+
;Sleuth Kit and Open Source Digital Forensics Conference
|- style="background:#bfbfbf; font-weight: bold"
+
 
! Title
+
The slides from the first ever Sleuth Kit and Open Source Digital Forensics Conference are now available online:
! Date/Location
+
 
! Website
+
* http://www.basistech.com/conference/2010/digital-forensics-agenda.html
! Limitation
+
 
|-
+
Highlights include:
|Cyber Counterterrorism Investigations Training Program (CCITP)
+
* [http://www.basistech.com/conference/2010/osdf-slides/Carrier-SleuthKitOverview.pdf The Sleuth Kit Overview and Automated Scanning Features] (Brian Carrier)
|Apr 02-06, FLETC, Glynco, GA
+
* [http://www.basistech.com/conference/2010/osdf-slides/Butler-Schiffer-Mandiant-Open-Source-Digital-Forensics.pdf Faster Response with Sleuth Kit and Other Open Source Technologies] (Jamie Butler and Jason Shiffer)
|http://www.fletc.gov/training/programs/computer-financial-investigations/technology-investigation/
+
* [http://www.basistech.com/conference/2010/osdf-slides/Forte-PTK-Forensics.pdf PTK Forensics after Two years: Past, Present and Future] (Dario Forte)
|Limited to Law Enforcement
+
* [http://www.basistech.com/conference/2010/osdf-slides/Joyce-Mac-Forensics-SleuthKit.pdf Mac Forensic Tools Using Sleuth Kit] (Rob Joyce)
|-
+
* [http://www.basistech.com/conference/2010/osdf-slides/Altheide-Commando-Forensics.pdf Commando Forensics: What Dongle?] (Cory Altheide)
|Digital Evidence Acquisition Specialist Training Program (DEASTP)
+
* [http://www.basistech.com/conference/2010/osdf-slides/Garfinkel-AFFLIB.pdf AFF and AFF4: Where we are, where we are going, and why it matters to you.] (Simson Garfinkel)
|Apr 02-13, FLETC, Glynco, GA
+
* [http://www.basistech.com/conference/2010/osdf-slides/Carvey-Timelines.pdf Timeline Creation using Open-Source Tools] (Harlan Carvey)
|http://www.fletc.gov/training/programs/computer-financial-investigations/technology-investigation/
+
 
|Limited to Law Enforcement
+
 
|-
+
<small>MARCH-2010</small>
|AccessData BootCamp
+
;[http://portal.acm.org/citation.cfm?id=1592451.1592455  Internet geolocation: Evasion and counterevasion]
|Apr 03-05, Dallas, TX
+
; ACM Computing Surveys (CSUR), Volume 42 ,  Issue 1  (December 2009)
|http://www.accessdata.com/training
+
<blockquote>
|-
+
Internet geolocation technology aims to determine the physical (geographic) location of Internet users and devices. It is currently proposed or in use for a wide variety of purposes, including targeted marketing, restricting digital content sales to authorized jurisdictions, and security applications such as reducing credit card fraud. This raises questions about the veracity of claims of accurate and reliable geolocation. We provide a survey of Internet geolocation technologies with an emphasis on adversarial contexts; that is, we consider how this technology performs against a knowledgeable adversary whose goal is to evade geolocation. We do so by examining first the limitations of existing techniques, and then, from this base, determining how best to evade existing geolocation techniques. We also consider two further geolocation techniques which may be of use even against adversarial targets: (1) the extraction of client IP addresses using functionality introduced in the 1.5 Java API, and (2) the collection of round-trip times using HTTP refreshes. These techniques illustrate that the seemingly straightforward technique of evading geolocation by relaying traffic through a proxy server (or network of proxy servers) is not as straightforward as many end-users might expect. We give a demonstration of this for users of the popular Tor anonymizing network.</blockquote>
|EnCase v5 Advanced Internet Examinations
+
 
|Apr 03-06, Washington DC
+
 
|http://www.guidancesoftware.com/training/schedule.asp
+
 
|-
+
<small>FEB-2010</small>
|EnCase v5 Essentials
+
[http://www.ojp.usdoj.gov/nij/journals/259/csi-effect.htm The 'CSI Effect': Does It Really Exist?], by The Honorable Donald E. Shelton
|Apr 03-06, Los Angeles, CA
+
 
|http://www.guidancesoftware.com/training/schedule.asp
+
Crime and courtroom proceedings have long been fodder for film and television scriptwriters. In recent years, however, the media's use of the courtroom as a vehicle for drama has not only proliferated, it has changed focus. In apparent fascination with our criminal justice process, many of today's courtroom dramas are based on actual cases. Court TV offers live gavel-to-gavel coverage of trials over the Internet for $5.95 a month. Now, that's "reality television"!
|-
+
 
|SMART for Linux
+
Reality and fiction have begun to blur with crime magazine television shows such as 48 Hours Mystery, American Justice, and even, on occasion, Dateline NBC. These programs portray actual cases, but only after extensively editing the content and incorporating narration for dramatic effect. Presenting one 35-year-old cold case, for example, 48 Hours Mystery filmed for months to capture all pretrial hearings as well as the 2-week trial; the program, however, was ultimately edited to a 1-hour episode that suggested the crime remained a "mystery" . . . notwithstanding the jury's guilty verdict....
|09-12 Apr, Austin, TX
+
 
|http://asrdata.com/training/training2.html
+
<small>JAN-2010</small>
|-
+
[http://hal.archives-ouvertes.fr/docs/00/35/09/62/PDF/ColDanDauDef09.pdf Using Graphics Processors for Parallelizing Hash-based Data Carving],  by Sylvain Collange, Marc Daumas, Yoginder S. Dandass, and David Defour, Proceedings of the 42nd Hawaii International Conference on System Sciences - 2009.  
|Applied Computer Forensics Boot Camp (CCE)
+
 
|Apr 09-13 , Springfield, VA
+
Abstract
|http://www.vigilar.com/training/cce
+
 
|-
+
The ability to detect fragments of deleted image files and to reconstruct these image files from all available fragments on disk is a key activity in the field of digital forensics. Although reconstruction of image files from the file fragments on disk can be accomplished by simply comparing the content of sectors on disk with the content of known files, this brute-force approach can be time consuming.
|EnCase v5 Intermediate Analysis and Reporting
+
 
|Apr 10-13, Los Angeles, CA
+
This paper presents results from research into the use of Graphics Processing Units (GPUs) in detecting specific image file byte patterns in disk clusters. Unique identifying pattern for each disk sector is compared against patterns in known images. A pattern match indicates the potential presence of an image and flags the disk sector for further in-depth examination to confirm the match. The GPU-based implementation outperforms the software implementation by a significant margin.
|http://www.guidancesoftware.com/training/schedule.asp
+
 
|-
+
 
|EnCase v5 NTFS-Phase I
+
<small>December-2009</small>
|Apr 10-13, Los Angeles, CA
+
;'''[http://blogs.sans.org/computer-forensics/2009/02/04/what-happens-when-you-overwrite-data/ What happens when you overwrite data?]'''.
|http://www.guidancesoftware.com/training/schedule.asp
+
Data recovery Craig S. Wright explores what happens when you try to cover overwritten data using high-quality scientific equipment. His conclusion: "The values do not tell you what existed on the drive prior to the wipe; they just allow you to make a guess, bit by bit. Each time you guess, you compound the error. As recovering a single bit value has little if any forensic value, you soon find that the cumulative errors render any recovered data worthless."
|-
+
 
|EnCase v5 Network Intrusion Investigations-Phase I
+
 
|Apr 10-13, Washington DC
+
<small>November-2009</small>
|http://www.guidancesoftware.com/training/schedule.asp
+
;'''[http://www.computer-forensics-lab.org/pdf/Linux_for_computer_forensic_investigators.pdf Linux for computer forensic investigators: «pitfalls» of mounting file systems] [http://computer-forensics-lab.org/lib/?cid=174 (Russian version)], Suhanov Maxim, 2009'''
|-
+
 
|SMART Windows Data Forensics
+
The paper opens discussion about building forensically sound Live CD distributions based on Linux. Problems described:
|16-18 Apr, Austin, TX
+
* Common misconceptions about "-o ro" mount option (is it forensically sound?);
|http://asrdata.com/training/training2.html
+
* Bugs in many forensic Live CDs that alter the data on evidentiary media.
|-
+
 
|EnCase v5 Network Intrusion Investigations-Phase II
+
Denis Frati ([[CAINE Live CD|CAINE]] developer) wrote an [http://www.denisfrati.it/pdf/Suhanov_Maxim_bug.pdf excellent review (Italian)] of the bug found in Casper scripts.
|Apr 16-19, Washington DC
+
 
|http://www.guidancesoftware.com/training/schedule.asp
+
<small>September-2009</small>
|-
+
;'''[http://www.blackhat.com/presentations/bh-dc-08/FX/Whitepaper/bh-dc-08-fx-WP.pdf Cisco IOS Forensics]'''
|EnCase v5 NTFS-Phase II
+
"Cisco System’s routers running Cisco IOS are still the prevalent routing platform on the Internet and corporate networks. Their huge population, architectural deficiencies and hugely diverse version distribution make them a valuable target that gains importance as common operating system platforms are closed down and secured.
|Apr 16-19, Los Angeles, CA
+
This paper takes the position that the currently used, well accepted practices for monitoring, debugging and post mortem crash analysis are insufficient to deal with the threat of compromised IOS devices. It sets forth a different method that reduces the requirement for constant logging, favoring on- demand in-depth analysis in case of suspicion or actual device crashes. The paper concludes by presenting the current state in the development of software supporting the proposed method and requesting feedback from the community on the software’s future directions."
|http://www.guidancesoftware.com/training/schedule.asp
+
 
|-
+
 
|AccessData Windows Forensics
+
<small>July-2009</small>
|Apr 17-19, Austin, TX
+
;'''[http://viaforensics.com/wpinstall/wp-content/uploads/2009/08/Android-Forensics-Andrew-Hoog-viaForensics.pdf Android Forensics]'''
|http://www.accessdata.com/training
+
:Presentation on [http://viaforensics.com/android Android Forensics] by Andrew Hoog, Mobile Forensics World 2009. Presentation gives an overview of Android, explains how to root phones, and extract data from a phone once you have superuser access.  One of the complications is that Android phones (like the T-Mobile G1) use YAFFS2, a flash-specific file system.
|-
+
 
|EnCase Enterprise v5-Phase II
+
<small>2009-June</small>
|Apr 17-20, United Kingdom
+
; [http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?tp=&arnumber=4505751&isnumber=4505671 Recovery of Damaged Compressed Files for Digital Forensic Purposes], Bora Park  Savoldi, A.  Gubian, P.  Jungheum Park  Seok Hee Lee  Sangjin Lee 
|http://www.guidancesoftware.com/training/schedule.asp
+
Korea Univ., Seoul,  International Conference on Multimedia and Ubiquitous Engineering, 2008. MUE 2008/
|-
+
 
|Seized Computer Evidence Recovery Specialist (SCERS)
+
Abstract:
|Apr 23-May 04, FLETC, Glynco, GA
+
: Nowadays compressed files are very widespread and can be considered, without any doubt, with regard to the Digital Forensic realm, an important and precious source of probatory data. This is especially true when in a digital investigation the examiner has to deal with corrupted compressed files, which have been gathered in the collection phase of the investigative process. Therefore, in the computer forensic field, data recovery technologies are very important for acquiring useful pieces of data which can become, in a court of low, digital evidence. This kind of technology is used not only by law enforcement, but also by the multitude of users in their daily activities, which justify the relevant presence of tools in the software market which are devoted to rescue data from damaged compressed files. However, state-of-the-art data recovery tools have many limitations with regard to the capability of recovering the original data, especially in the case of damaged compressed files. So far, such recovery tools have been based on a which controls the signature/header of the file and, thus, provides the offset to the raw compressed data block. As a result, they cannot recover the compressed files if the first part of the raw compressed data block, which pertains to the header, is damaged or the signature/header block is corrupted. Therefore, in order to deal with this issue, we have developed a new tool capable of rescuing damaged compressed files, according to the DEFLATE compression scheme, even though the header block is missing or corrupted. This represents a new interesting opportunity for the digital forensic discipline.
|http://www.fletc.gov/training/programs/computer-financial-investigations/technology-investigation/
+
 
|Limited to Law Enforcement
+
 
|-
+
<small>2009-May</small>
|AccessData Windows Forensics
+
; [[Media:JensenCellPhones.pdf|Overcoming Impediments to Cell Phone Forensics]], Wayne Jansen, Aurelien Delaitre, and Ludovic Moenner, Proceedings of the 41st Hawaii International Conference on System Sciences - 2008
|Apr 24-26, Boise, ID and Solna, Sweden
+
:Cell phones are an emerging but rapidly growing area of computer forensics. While cell phones are becoming more like desktop computers functionally, their organization and operation are quite different in certain areas. For example, most cell phones do not contain a  hard drive and rely instead on flash memory for persistent storage. Cell phones are also designed more as special purpose appliances that perform a set of predefined tasks using proprietary embedded software, rather than general-purpose extensible systems that run common operating system software. Such differences make the application of classical computer forensic techniques difficult. Also complicating the situation is the state of the art of present day cell phone forensic tools themselves and the way in which tools are applied. This paper identifies factors that impede cell phone forensics and describes techniques to address two resulting problems in particular: the limited coverage of available phone models by forensic tools, and the inadequate means for validating the correct functioning of forensic tools
|http://www.accessdata.com/training
+
 
|-
+
<small>2009-Apr</small>
|Live Forensics and Incident Response
+
; [http://www.simson.net/clips/students/09_Farrell.pdf A Framework for Automated Digital Forensic Reporting], Lt. Paul Farrell, Master's Thesis, Naval Postgraduate School, Monterey, CA, March 2009
|Apr 24-26, Worcester University, UK
+
: Forensic analysis is the science of finding, examining and analyzing evidence in support of law enforcement, regulatory compliance or information gathering. Today, almost all digital forensic analysis is done by humans, requiring dedicated training and consuming man-hours at a considerable rate.  As storage sizes increase and digital forensics gain importance in investigations, the backlog of media requiring human analysis has increased as well.  This thesis tests today's top-of-the-line commercial and open source forensic tools with the analysis of a purpose-built Windows XP computer system containing two users that engaged in email, chat and web browsing.  It presents the results of a pilot user study of the PyFlag forensic tool.  Finally, it presents a technique to use software to do a preliminary analysis on media and provide a human readable report to the examiner. The goal of the technique is to perform rapid triaging of media and allow the human examiner to better prioritize man hours towards media with high return on investment.  
|https://www.e-fense.com/register.php
+
 
|-
+
 
|EnCase v5 Intermediate Analysis and Reporting-Private Sector
+
<small>2009-Feb-08</small>
|Apr 24-27, United Kingdom
+
; [http://portal.acm.org/citation.cfm?doid=1368506.1368519 The impact of full disk encryption on digital forensics], ACM SIGOPS Operating Systems Review archive, Volume 42 , Issue 3  (April 2008) , Pages 93-98 
|http://www.guidancesoftware.com/training/schedule.asp
+
:The integration of strong encryption into operating systems is creating challenges for forensic examiners, potentially preventing us from recovering any digital evidence from a computer. Because strong encryption cannot be circumvented without a key or passphrase, forensic examiners may not be able to access data after a computer is shut down, and must decide whether to perform a live forensic acquisition. In addition, with encryption becoming integrated into the operating system, in some cases, virtualization is the most effective approach to performing a forensic examination of a system with FDE. This paper presents the evolution of full disk encryption (FDE) and its impact on digital forensics. Furthermore, by demonstrating how full disk encryption has been dealt with in past investigations, this paper provides forensics examiners with practical techniques for recovering evidence that would otherwise be inaccessible.
|-
+
 
|EnCase v5 FIM/Mobile Use of EE Live Forensics
+
 
|Apr 24-27, Los Angeles, CA
+
<small>2009-JAN-01</small>
|http://www.guidancesoftware.com/training/schedule.asp
+
; [http://www.ssddfj.org/papers/SSDDFJ_V2_1_Turnbull.pdf Forensic Investigation of the Nintendo Wii: A First Glance], Dr. Benjamin Turnbull, SMALL SCALE DIGITAL DEVICE FORENSICS JOURNAL, VOL. 2, NO. 1, JUNE 2008 ISSN# 1941-6164
|-
+
: The closed nature of the Wii makes it a challenging game console for forensic analysis. This article takes a first look at the platform, discussing the various places where forensically interesting information may be hidden. There's also a reference to an interesting article about how the ability of wimotes to move avatars from one system to another documents a woman's affair while her husband was serving in Iraq.
|EnCase v5 Essentials
+
 
|Apr 24-27, Washington DC
+
<small>2008-Nov-18</small>
|http://www.guidancesoftware.com/training/schedule.asp
+
; [http://www.waset.org/pwaset/v26/v26-6.pdf Data Acquisition from Cell Phone using Logical Approach], Keonwoo Kim, Dowon Hong, Kyoil Chung, and Jae-Cheol Ryou, PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY VOLUME 26 DECEMBER 2007 ISSN 1307-6884
|-
+
: This article discusses three approaches for acquiring data from cell phones: physically removing the flash RAM chips and reading them directly; reading the data out using the [[JTAG]] interface, and running software on the cell phone to extract the files at a logical level. The authors have built a logical extraction system and are working on a system based on JTAG.
|Digital Forensics In The Enterprise
+
 
|Apr 25-27, New York City, NY
+
<small>2008-Oct-30</small>
|http://www.securityfocus.com/archive/104/461947/30/0/threaded
+
; [[Media:Thesis-David-Nadeau.pdf|Semi-Supervised Named Entity Recognition]]: Learning to Recognize 100 Entity Types with Little Supervision, David Nadeau, PhD Thesis, University of Ottawa, 2007.
|-
+
: Named Entity Recognition is the process of analyzing text documents and automatically identifying the Who, What, Where and Whens. David Nadeau's thesis presents a novel approach which bootstraps a named entity recognizer using semi-structured documents on the web. Few forensic tools use NER today, but that may well change in the future. What makes this thesis so interesting to read is that it also has a history of the last 20 years or so of the field. Highly recommended.
|EnCase v5 Intermediate Analysis and Reporting
+
 
|May 01-04, Washington DC
+
<small>2008-Oct-24</small>
|http://www.guidancesoftware.com/training/schedule.asp
+
; [http://portal.acm.org/citation.cfm?id=1363239 Advanced JPEG carving], Michael I. Cohen, Proceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop
|-
+
: Michael I. Cohen presents a fully automated carver which can carve fragmented JPEGs using typical fragmentation patterns. (Cohen argues the the DFRWS carving challenges do not represent typical fragmentation patterns.)
|EnCase v5 Essentials
+
 
|May 01-04, United Kingdom
+
<small>2008-Oct-18</small>
|http://www.guidancesoftware.com/training/schedule.asp
+
; [http://www.cs.umass.edu/~miklau/pubs/sigmod2007LMS/stahlberg07forensicDB.pdf Threats to Privacy in the Forensic Analysis of Database Systems]
|-
+
: Patrick Stahlberg, Gerome Miklau, and Brian Neil Levine
|SMART for Linux
+
: Proceedings of the 2007 ACM SIGMOD international conference on Management of data table of contents
|07-10 May, Austin, TX
+
: Beijing, China.  
|http://asrdata.com/training/training2.html
+
: This paper looks at residual data left behind in databases after DELETE, UPDATE, and VACUUM operations. The authors show that residual data is a real issue in databases, and that it's pretty easy to modify a database so that no residual data is left behind. MySQL with MyISM tables has clean delete, but InnoDB does not. Very much worth reading.
|-
+
 
|AccessData Internet Forensics
+
<small>2008-Aug-13</small>
|May 08-10 , Albuquerque, NM
+
; [http://www.usenix.org/events/sec08/tech/halderman.html Lest We Remember: Cold Boot Attacks on Encryption Keys]
|http://www.accessdata.com/training
+
: J. Alex Halderman, Princeton University; Seth D. Schoen, Electronic Frontier Foundation; Nadia Heninger and William Clarkson, Princeton University; William Paul, Wind River Systems; Joseph A. Calandrino and Ariel J. Feldman, Princeton University; Jacob Appelbaum; Edward W. Felten, Princeton University
|-
+
: [http://www.usenix.org/events/sec08/ USENIX Security '08 Refereed Paper]
|EnCase v5 Advanced Computer Forensics
+
: Awarded Best Student Paper
|May 08-11, Washington DC
+
 
|http://www.guidancesoftware.com/training/schedule.asp
+
: Increasingly memory analysis is of interest in forensic research---both because new malware only resides in memory, and because memory analysis is frequently the only way for analysts to get the keys that are used to protect cryptographic file systems. In this paper the authors show that cryptographic keys in memory are vulnerable to exploitation ''after the computer is turned off.'' The authors show that the contents of dynamic RAM are retained seconds, and sometimes minutes, after power is turned off. By chilling the memory the data can be retained as long as necessary. And while most laptops wipe their memory when they reboot, the authors show that the chilled memory can be moved from one laptop that wipes to another laptop that does not wipe. Finally, the authors show that it is possible to find the cryptographic keys in memory and correct random bit errors by using the AES key schedule as an error-correction code. The authors demonstrate an attack USB stick which reboots a computer protected with BitLocker, finds the cryptographic keys, and then allows access to the cleartext information on the disk.
|-
+
 
|SMART Windows Data Forensics
+
<small>2008-July-27</small>
|14-16 May, Austin, TX
+
; The [http://cups.cs.cmu.edu/soups/2008  Symposium on Usable Privacy and Security (2008)] concluded this past week in Pittsburgh, PA. One paper that appeared which is interesting to the network forensics crowd is [http://cups.cs.cmu.edu/soups/2008/proceedings/p107Werlinger.pdf The Challenges of Using an Intrusion Detection System: Is It Worth the Effort?], by Rodrigo Werlinger, Kirstie Hawkey, Kasia Muldner, Pooya Jaferian and Konstantin Beznosov. [http://cups.cs.cmu.edu/soups/2008/slides/hawkey_soups.ppt slides]
|http://asrdata.com/training/training2.html
+
 
|-
+
: In this article, the authors conducted interviews with 9 IT security practitioners who have worked with IDSs performed ethnographic observations within an organization that was deploying a new IDS. They found that security practitioners were heavily divided on the value of the IDS, and learned that the an IDS really only generates value if the network is well-understood before the IDS is deployed.
|EnCase v5 Intermediate Analysis and Reporting
+
 
|May 15-18, United Kingdom
+
<small>2008-July-20</small>
|http://www.guidancesoftware.com/training/schedule.asp
+
;The [http://www.utica.edu/academic/institutes/ecii/ijde/ International Journal of Digital Evidence] is one of two publications by the [http://www.utica.edu/academic/institutes/ecii/ Electronic Crime Institute (ECI)] at Utica College. Current and previous issues are available online.
|-
+
 
|Computer Network Investigations Training Program (CNITP)
+
: The current Fall 2007 issue has an interesting article [http://www.utica.edu/academic/institutes/ecii/publications/articles/1C33DF76-D8D3-EFF5-47AE3681FD948D68.pdf Mobile Phone Forensics Tool Testing: A Database Drive Approach] by Baggili, Mislan, and Rogers at Purdue University. Given that phones are increasingly a primary source of forensic information in many cases, we need to be sure that the tools that are used for forensic analysis present data that is accurate and repeatable. Unfortunately they frequently aren't because of there are so many different kinds of phones on the market and the forensic tools lag far behind the market.
|May 15-25, FLETC, Glynco, GA
+
 
|http://www.fletc.gov/training/programs/computer-financial-investigations/technology-investigation/
+
<bibtex>
|Limited to Law Enforcement
+
@article{title="Mobile Phone Forensics Tool Testing: A Database Driven Approach",
|-
+
author="Ibrahim M. Baggili and Richard Mislan and Marcus Rogers",
|AccessData Internet Forensics
+
journal="International Journal of Digital Evidence",
|May 22-24 , Solna, Sweden
+
year=2007,
|http://www.accessdata.com/training
+
volume=6,
|-
+
issue=2,
|EnCase v5 Advanced Computer Forensics
+
url="http://www.utica.edu/academic/institutes/ecii/publications/articles/1C33DF76-D8D3-EFF5-47AE3681FD948D68.pdf",
|May 22-25, United Kingdom
+
abstract="The Daubert process used in the admissibility of evidence contains major guidelines
|http://www.guidancesoftware.com/training/schedule.asp
+
applied in assessing forensic procedures, two of which are testing and error rates. The
|-
+
Digital Forensic Science (DFS) community is growing and the error rates for the forensic
|SARC Steganography Examiner Training
+
tools need to be continuously re-evaluated as the technology changes. This becomes
|May 23 - 24, Orlando, FL (National Center for Forensic Science)
+
more difficult in the case of mobile phone forensics, because they are proprietary. This
|http://www.sarc-wv.com/training.aspx
+
paper discusses a database driven approach that could be used to store data about the
|-
+
mobile phone evidence acquisition testing process. This data can then be used to
|First Responder to Digital Evidence Program (FRDE)
+
calculate tool error rates, which can be published and used to validate or invalidate the
|May 30-Jun 01, FLETC, Glynco, GA
+
mobile phone acquisition tools. "
|http://www.fletc.gov/training/programs/computer-financial-investigations/technology-investigation/
+
}
|Limited to Law Enforcement
+
</bibtex>
|-
+
 
|Computer Forensics First Responder
+
 
|May 31, Indianapolis, IN
+
<small>2008-July-12</small>
|http://www.ifi-indy.org/ifi%20training/train.html
+
 
|-
+
<bibtex>
|AccessData BootCamp
+
@article{
|May 31-Jun 02, Myrtle Beach, SC
+
  misc="",
|http://www.accessdata.com/training
+
  publisher="DFRWS 2008",
|-
+
  author="Anandabrata Pal and Taha Sencar and Nasir Memon",
|AccessData Windows Forensics
+
  title="Detecting File Fragmentation Point Using Sequential Hypothesis Testing",
|May 31-Jun 02, Myrtle Beach, SC
+
  year=2008,
|http://www.accessdata.com/training
+
  abstract="Abstract—File carving is a technique whereby data files are
|-
+
extracted from a digital device without the assistance of file
|SMART for Linux
+
tables or other disk meta-data. One of the primary challenges in
|04-07 Jun, Austin, TX
+
file carving can be found in attempting to recover files that are
|http://asrdata.com/training/training2.html
+
fragmented. In this paper, we show how detecting the point of
|-
+
fragmentation of a file can benefit fragmented file recovery. We
|AccessData BootCamp
+
then present a sequential hypothesis testing procedure to identify
|Jun 05-07, Albuquerque, NM
+
the fragmentation point of a file by sequentially comparing
|http://www.accessdata.com/training
+
adjacent pairs of blocks from the starting block of a file until
|-
+
the fragmentation point is reached. By utilizing serial analysis we
|Advanced Data Forensics Topics
+
are able to to minimize the errors in detecting the fragmentation
|11-13 Jun, Austin, TX
+
points. The performance results obtained from the fragmented
|http://asrdata.com/training/training2.html
+
test-sets of DFRWS 2006 and 2007 show that the method can be
|-
+
effectively used in recovery of fragmented files.
|Digital Evidence Acquisition Specialist Training Program (DEASTP)
+
clear that recovery of fragmented files is a critical problem in
|Jun 11-22, FLETC, Glynco, GA
+
forensics. ",
|http://www.fletc.gov/training/programs/computer-financial-investigations/technology-investigation/
+
  url="http://www.digital-assembly.com/technology/research/pubs/dfrws2008.pdf"
|Limited to Law Enforcement
+
}
|-
+
</bibtex>
|e-fense Live Forensics and Incident Response Course
+
 
|Jun 12-14 , SEARCH - Sacramento, CA
+
This DFRWS 2008 article presents an improved approach for carving fragmented JPEGs using sequential hypothesis testing. According to the authors, "The technique begins with a header block identifying the start of a file and then attempts to validate via SHT each subsequent block following the header block. The fragmentation point is identified when SHT identifies a block as not belonging to the file. By utilizing this technique, we are able to correctly and efficiently recover JPEG images from the DFRWS 2006 [1] and 2007 [2] test sets even in the presence of tens of thousands of blocks and files fragmented into 3 or more parts. The bifragment gap carving technique enhanced with SHT allows us to improve the performance result of DFRWS 2006 challenge test-sets,
|https://www.e-fense.com/register.php
+
although the technique cannot be used for DFRWS 2007. We then show how Parallel Unique Path enhanced with SHT is able to recover all fragmented JPEGs from DFRWS 2006 and all recoverable JPEGs from 2007 challenge test-sets. As far as we are aware, no other automated technique can recover multi-fragmented JPEGs from the DFRWS 2007 test set."
|-
+
 
|AccessData Internet Forensics
+
 
|Jun 12-14 , Boise, ID
+
 
|http://www.accessdata.com/training
+
 
|-
+
 
|AccessData Windows Forensics
+
<small>2008-July-5</small>
|Jun 19-21, Dallas, TX
+
 
|http://www.accessdata.com/training
+
<bibtex>
|-
+
@article{
|SMART for Linux
+
  publisher="Taylor & Francis",
|09-12 Jul, Austin, TX
+
  journal="Journal of Digital Forensic Practice",
|http://asrdata.com/training/training2.html
+
  author="Yoginder Singh Dandass and Nathan Joseph Necaise and Sherry Reede Thomas",
|-
+
  title="An Empirical Analysis of Disk Sector Hashes for Data Carving",
|Cyber Counterterrorism Investigations Training Program (CCITP)
+
  year=2008,
|Jul 09-13, FLETC, Glynco, GA
+
  volume=2,
|http://www.fletc.gov/training/programs/computer-financial-investigations/technology-investigation/
+
  issue=2,
|Limited to Law Enforcement
+
  pages="95--106",
|-
+
  abstract="Discovering known illicit material on digital storage devices is an important component of a digital forensic investigation. Using existing data carving techniques and tools, it is typically difficult to recover remaining fragments of deleted illicit files whose file system metadata and file headers have been overwritten by newer files. In such cases, a sector-based scan can be used to locate those sectors whose content matches those of sectors from known illicit files. However, brute-force sector-by-sector comparison is prohibitive in terms of time required. Techniques that compute and compare hash-based signatures of sectors in order to filter out those sectors that do not produce the same signatures as sectors from known illicit files are required for accelerating the process.
|SMART Windows Data Forensics
+
 
|16-18 Jul, Austin, TX
+
This article reports the results of a case study in which the hashes for over 528 million sectors extracted from over 433,000 files of different types were analyzed. The hashes were computed using SHA1, MD5, CRC64, and CRC32 algorithms and hash collisions of sectors from JPEG and WAV files to other sectors were recorded. The analysis of the results shows that although MD5 and SHA1 produce no false-positive indications, the occurrence of false positives is relatively low for CRC32 and especially CRC64. Furthermore, the CRC-based algorithms produce considerably smaller hashes than SHA1 and MD5, thereby requiring smaller storage capacities. CRC64 provides a good compromise between number of collisions and storage capacity required for practical implementations of sector-scanning forensic tools.",
|http://asrdata.com/training/training2.html
+
  url="http://www.informaworld.com/10.1080/15567280802050436"
|-
+
}
|Seized Computer Evidence Recovery Specialist (SCERS)
+
</bibtex>
|Jul 16-27, FLETC, Glynco, GA
+
 
|http://www.fletc.gov/training/programs/computer-financial-investigations/technology-investigation/
+
Authors Dandass ''et. al'' analyzed 528 million sectors from 433,630 unique files. They computed the CRC32, CRC64, MD5 and SHA-1 of each sector. Not surprisingly, they find that the MD5 and SHA-1s of the sectors are different if the sectors are different. They find 94 CRC64 collisions and 30 million CRC32 collisions. The conclusion is that, if you are search for a single sector or building a database of single sector hashes, you are better off building a database of CRC64s because they are easier to store and dramatically faster to calculate than the traditional hash functions, and they are nearly as accurate.
|Limited to Law Enforcement
+
|-
+
|AccessData BootCamp
+
|Jul 17-19, Boise, ID
+
|http://www.accessdata.com/training
+
|-
+
|AccessData Windows Forensics
+
|Jul 24-26, Albuquerque, NM
+
|http://www.accessdata.com/training
+
|-
+
|First Responder to Digital Evidence Program (FRDE)
+
|Jul 31-Aug 02, FLETC, Glynco, GA
+
|http://www.fletc.gov/training/programs/computer-financial-investigations/technology-investigation/
+
|Limited to Law Enforcement
+
|-
+
|SMART for Linux
+
|06-09 Aug, Austin, TX
+
|http://asrdata.com/training/training2.html
+
|-
+
|Computer Network Investigations Training Program (CNITP)
+
|Aug 14-24, FLETC, Glynco, GA
+
|http://www.fletc.gov/training/programs/computer-financial-investigations/technology-investigation/
+
|Limited to Law Enforcement
+
|-
+
|SMART Linux Data Forensics
+
|13-15 Aug, Austin, TX
+
|http://asrdata.com/training/training2.html
+
|-
+
|AccessData Internet Forensics
+
|Aug 14-16 , Austin, TX
+
|http://www.accessdata.com/training
+
|-
+
|SMART for Linux
+
|03-06 Sep, Austin, TX
+
|http://asrdata.com/training/training2.html
+
|-
+
|First Responder to Digital Evidence Program (FRDE)
+
|Sep 11-13, FLETC, Glynco, GA
+
|http://www.fletc.gov/training/programs/computer-financial-investigations/technology-investigation/
+
|Limited to Law Enforcement
+
|-
+
|AccessData Applied Decryption
+
|Sep 11-13, Dallas, TX
+
|http://www.accessdata.com/training
+
|-
+
|Enterprise Data Forensics
+
|17-19 Sep, Austin, TX
+
|http://asrdata.com/training/training2.html
+
|-
+
|AccessData Applied Decryption
+
|Sep 25-27, Chicago, IL
+
|http://www.accessdata.com/training
+
|-
+
|AccessData BootCamp
+
|Sep 25-27, Solna, SE
+
|http://www.accessdata.com/training
+
|-
+
|SMART for Linux
+
|01-04 Oct, Austin, TX
+
|http://asrdata.com/training/training2.html
+
|-
+
|SMART Windows Data Forensics
+
|08-10 Oct, Austin, TX
+
|http://asrdata.com/training/training2.html
+
|-
+
|SMART for Linux
+
|05-08 Nov, Austin, TX
+
|http://asrdata.com/training/training2.html
+
|-
+
|AccessData BootCamp
+
|Nov 06-08, Austin, TX
+
|http://www.accessdata.com/training
+
|-
+
|AccessData Windows Forensics
+
|Nov 06-08, Solna, Sweden
+
|http://www.accessdata.com/training
+
|-
+
|SMART Linux Data Forensics
+
|12-14 Nov, Austin, TX
+
|http://asrdata.com/training/training2.html
+
|-
+
|SMART for Linux
+
|03-06 Dec, Austin, TX
+
|http://asrdata.com/training/training2.html
+
|-
+
|AccessData Internet Forensics
+
|Dec 04-06 , Solna, Sweden
+
|http://www.accessdata.com/training
+
|-
+
|Enterprise Data Forensics
+
|10-12 Dec, Austin, TX
+
|http://asrdata.com/training/training2.html
+
|-
+
|}
+

Revision as of 07:55, 6 August 2011

Archived past selected research articles

July 2011

Salvatore Florillio - Theory and practice of flash memory mobile forensics
,2009
http://ro.ecu.edu.au/adf/67/
Bibtex
Author : Salvatore Florillio
Title : Theory and practice of flash memory mobile forensics
In : -
Address :
Date : 2009


June 2011

Gary Craig Kessler - Judges’ Awareness, Understanding, and Application of Digital Evidence
Ph.D. Thesis, ,2010
http://www.forensicswiki.org/wiki/File:Kessler_judges%26de.pdf
Bibtex
Author : Gary Craig Kessler
Title : Judges’ Awareness, Understanding, and Application of Digital Evidence
In : Ph.D. Thesis, -
Address :
Date : 2010

Spring 2011 Solid State Drive (SSD) Forensics
We now have a new page on SSD forensics. The page has some basic information and a growing bibliography. One of the first entries is:

Michael Wei, Laura M. Grupp, Frederick M. Spada, Steven Swanson - Reliably Erasing Data from Flash-Based Solid State Drives
FAST 2011 ,2011
http://cseweb.ucsd.edu/users/m3wei/assets/pdf/FMS-2010-Secure-Erase.pdf
Bibtex
Author : Michael Wei, Laura M. Grupp, Frederick M. Spada, Steven Swanson
Title : Reliably Erasing Data from Flash-Based Solid State Drives
In : FAST 2011 -
Address :
Date : 2011

(Past selected articles are archived here.) </div>

JULY-2010

Sleuth Kit and Open Source Digital Forensics Conference

The slides from the first ever Sleuth Kit and Open Source Digital Forensics Conference are now available online:

Highlights include:


MARCH-2010

Internet geolocation: Evasion and counterevasion
ACM Computing Surveys (CSUR), Volume 42 , Issue 1 (December 2009)
Internet geolocation technology aims to determine the physical (geographic) location of Internet users and devices. It is currently proposed or in use for a wide variety of purposes, including targeted marketing, restricting digital content sales to authorized jurisdictions, and security applications such as reducing credit card fraud. This raises questions about the veracity of claims of accurate and reliable geolocation. We provide a survey of Internet geolocation technologies with an emphasis on adversarial contexts; that is, we consider how this technology performs against a knowledgeable adversary whose goal is to evade geolocation. We do so by examining first the limitations of existing techniques, and then, from this base, determining how best to evade existing geolocation techniques. We also consider two further geolocation techniques which may be of use even against adversarial targets: (1) the extraction of client IP addresses using functionality introduced in the 1.5 Java API, and (2) the collection of round-trip times using HTTP refreshes. These techniques illustrate that the seemingly straightforward technique of evading geolocation by relaying traffic through a proxy server (or network of proxy servers) is not as straightforward as many end-users might expect. We give a demonstration of this for users of the popular Tor anonymizing network.


FEB-2010 The 'CSI Effect': Does It Really Exist?, by The Honorable Donald E. Shelton

Crime and courtroom proceedings have long been fodder for film and television scriptwriters. In recent years, however, the media's use of the courtroom as a vehicle for drama has not only proliferated, it has changed focus. In apparent fascination with our criminal justice process, many of today's courtroom dramas are based on actual cases. Court TV offers live gavel-to-gavel coverage of trials over the Internet for $5.95 a month. Now, that's "reality television"!

Reality and fiction have begun to blur with crime magazine television shows such as 48 Hours Mystery, American Justice, and even, on occasion, Dateline NBC. These programs portray actual cases, but only after extensively editing the content and incorporating narration for dramatic effect. Presenting one 35-year-old cold case, for example, 48 Hours Mystery filmed for months to capture all pretrial hearings as well as the 2-week trial; the program, however, was ultimately edited to a 1-hour episode that suggested the crime remained a "mystery" . . . notwithstanding the jury's guilty verdict....

JAN-2010 Using Graphics Processors for Parallelizing Hash-based Data Carving, by Sylvain Collange, Marc Daumas, Yoginder S. Dandass, and David Defour, Proceedings of the 42nd Hawaii International Conference on System Sciences - 2009.

Abstract

The ability to detect fragments of deleted image files and to reconstruct these image files from all available fragments on disk is a key activity in the field of digital forensics. Although reconstruction of image files from the file fragments on disk can be accomplished by simply comparing the content of sectors on disk with the content of known files, this brute-force approach can be time consuming.

This paper presents results from research into the use of Graphics Processing Units (GPUs) in detecting specific image file byte patterns in disk clusters. Unique identifying pattern for each disk sector is compared against patterns in known images. A pattern match indicates the potential presence of an image and flags the disk sector for further in-depth examination to confirm the match. The GPU-based implementation outperforms the software implementation by a significant margin.


December-2009

What happens when you overwrite data?.

Data recovery Craig S. Wright explores what happens when you try to cover overwritten data using high-quality scientific equipment. His conclusion: "The values do not tell you what existed on the drive prior to the wipe; they just allow you to make a guess, bit by bit. Each time you guess, you compound the error. As recovering a single bit value has little if any forensic value, you soon find that the cumulative errors render any recovered data worthless."


November-2009

Linux for computer forensic investigators: «pitfalls» of mounting file systems (Russian version), Suhanov Maxim, 2009

The paper opens discussion about building forensically sound Live CD distributions based on Linux. Problems described:

  • Common misconceptions about "-o ro" mount option (is it forensically sound?);
  • Bugs in many forensic Live CDs that alter the data on evidentiary media.

Denis Frati (CAINE developer) wrote an excellent review (Italian) of the bug found in Casper scripts.

September-2009

Cisco IOS Forensics

"Cisco System’s routers running Cisco IOS are still the prevalent routing platform on the Internet and corporate networks. Their huge population, architectural deficiencies and hugely diverse version distribution make them a valuable target that gains importance as common operating system platforms are closed down and secured. This paper takes the position that the currently used, well accepted practices for monitoring, debugging and post mortem crash analysis are insufficient to deal with the threat of compromised IOS devices. It sets forth a different method that reduces the requirement for constant logging, favoring on- demand in-depth analysis in case of suspicion or actual device crashes. The paper concludes by presenting the current state in the development of software supporting the proposed method and requesting feedback from the community on the software’s future directions."


July-2009

Android Forensics
Presentation on Android Forensics by Andrew Hoog, Mobile Forensics World 2009. Presentation gives an overview of Android, explains how to root phones, and extract data from a phone once you have superuser access. One of the complications is that Android phones (like the T-Mobile G1) use YAFFS2, a flash-specific file system.

2009-June

Recovery of Damaged Compressed Files for Digital Forensic Purposes, Bora Park Savoldi, A. Gubian, P. Jungheum Park Seok Hee Lee Sangjin Lee

Korea Univ., Seoul, International Conference on Multimedia and Ubiquitous Engineering, 2008. MUE 2008/

Abstract:

Nowadays compressed files are very widespread and can be considered, without any doubt, with regard to the Digital Forensic realm, an important and precious source of probatory data. This is especially true when in a digital investigation the examiner has to deal with corrupted compressed files, which have been gathered in the collection phase of the investigative process. Therefore, in the computer forensic field, data recovery technologies are very important for acquiring useful pieces of data which can become, in a court of low, digital evidence. This kind of technology is used not only by law enforcement, but also by the multitude of users in their daily activities, which justify the relevant presence of tools in the software market which are devoted to rescue data from damaged compressed files. However, state-of-the-art data recovery tools have many limitations with regard to the capability of recovering the original data, especially in the case of damaged compressed files. So far, such recovery tools have been based on a which controls the signature/header of the file and, thus, provides the offset to the raw compressed data block. As a result, they cannot recover the compressed files if the first part of the raw compressed data block, which pertains to the header, is damaged or the signature/header block is corrupted. Therefore, in order to deal with this issue, we have developed a new tool capable of rescuing damaged compressed files, according to the DEFLATE compression scheme, even though the header block is missing or corrupted. This represents a new interesting opportunity for the digital forensic discipline.


2009-May

Overcoming Impediments to Cell Phone Forensics, Wayne Jansen, Aurelien Delaitre, and Ludovic Moenner, Proceedings of the 41st Hawaii International Conference on System Sciences - 2008
Cell phones are an emerging but rapidly growing area of computer forensics. While cell phones are becoming more like desktop computers functionally, their organization and operation are quite different in certain areas. For example, most cell phones do not contain a hard drive and rely instead on flash memory for persistent storage. Cell phones are also designed more as special purpose appliances that perform a set of predefined tasks using proprietary embedded software, rather than general-purpose extensible systems that run common operating system software. Such differences make the application of classical computer forensic techniques difficult. Also complicating the situation is the state of the art of present day cell phone forensic tools themselves and the way in which tools are applied. This paper identifies factors that impede cell phone forensics and describes techniques to address two resulting problems in particular: the limited coverage of available phone models by forensic tools, and the inadequate means for validating the correct functioning of forensic tools

2009-Apr

A Framework for Automated Digital Forensic Reporting, Lt. Paul Farrell, Master's Thesis, Naval Postgraduate School, Monterey, CA, March 2009
Forensic analysis is the science of finding, examining and analyzing evidence in support of law enforcement, regulatory compliance or information gathering. Today, almost all digital forensic analysis is done by humans, requiring dedicated training and consuming man-hours at a considerable rate. As storage sizes increase and digital forensics gain importance in investigations, the backlog of media requiring human analysis has increased as well. This thesis tests today's top-of-the-line commercial and open source forensic tools with the analysis of a purpose-built Windows XP computer system containing two users that engaged in email, chat and web browsing. It presents the results of a pilot user study of the PyFlag forensic tool. Finally, it presents a technique to use software to do a preliminary analysis on media and provide a human readable report to the examiner. The goal of the technique is to perform rapid triaging of media and allow the human examiner to better prioritize man hours towards media with high return on investment.


2009-Feb-08

The impact of full disk encryption on digital forensics, ACM SIGOPS Operating Systems Review archive, Volume 42 , Issue 3 (April 2008) , Pages 93-98
The integration of strong encryption into operating systems is creating challenges for forensic examiners, potentially preventing us from recovering any digital evidence from a computer. Because strong encryption cannot be circumvented without a key or passphrase, forensic examiners may not be able to access data after a computer is shut down, and must decide whether to perform a live forensic acquisition. In addition, with encryption becoming integrated into the operating system, in some cases, virtualization is the most effective approach to performing a forensic examination of a system with FDE. This paper presents the evolution of full disk encryption (FDE) and its impact on digital forensics. Furthermore, by demonstrating how full disk encryption has been dealt with in past investigations, this paper provides forensics examiners with practical techniques for recovering evidence that would otherwise be inaccessible.


2009-JAN-01

Forensic Investigation of the Nintendo Wii: A First Glance, Dr. Benjamin Turnbull, SMALL SCALE DIGITAL DEVICE FORENSICS JOURNAL, VOL. 2, NO. 1, JUNE 2008 ISSN# 1941-6164
The closed nature of the Wii makes it a challenging game console for forensic analysis. This article takes a first look at the platform, discussing the various places where forensically interesting information may be hidden. There's also a reference to an interesting article about how the ability of wimotes to move avatars from one system to another documents a woman's affair while her husband was serving in Iraq.

2008-Nov-18

Data Acquisition from Cell Phone using Logical Approach, Keonwoo Kim, Dowon Hong, Kyoil Chung, and Jae-Cheol Ryou, PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY VOLUME 26 DECEMBER 2007 ISSN 1307-6884
This article discusses three approaches for acquiring data from cell phones: physically removing the flash RAM chips and reading them directly; reading the data out using the JTAG interface, and running software on the cell phone to extract the files at a logical level. The authors have built a logical extraction system and are working on a system based on JTAG.

2008-Oct-30

Semi-Supervised Named Entity Recognition
Learning to Recognize 100 Entity Types with Little Supervision, David Nadeau, PhD Thesis, University of Ottawa, 2007.
Named Entity Recognition is the process of analyzing text documents and automatically identifying the Who, What, Where and Whens. David Nadeau's thesis presents a novel approach which bootstraps a named entity recognizer using semi-structured documents on the web. Few forensic tools use NER today, but that may well change in the future. What makes this thesis so interesting to read is that it also has a history of the last 20 years or so of the field. Highly recommended.

2008-Oct-24

Advanced JPEG carving, Michael I. Cohen, Proceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop
Michael I. Cohen presents a fully automated carver which can carve fragmented JPEGs using typical fragmentation patterns. (Cohen argues the the DFRWS carving challenges do not represent typical fragmentation patterns.)

2008-Oct-18

Threats to Privacy in the Forensic Analysis of Database Systems
Patrick Stahlberg, Gerome Miklau, and Brian Neil Levine
Proceedings of the 2007 ACM SIGMOD international conference on Management of data table of contents
Beijing, China.
This paper looks at residual data left behind in databases after DELETE, UPDATE, and VACUUM operations. The authors show that residual data is a real issue in databases, and that it's pretty easy to modify a database so that no residual data is left behind. MySQL with MyISM tables has clean delete, but InnoDB does not. Very much worth reading.

2008-Aug-13

Lest We Remember: Cold Boot Attacks on Encryption Keys
J. Alex Halderman, Princeton University; Seth D. Schoen, Electronic Frontier Foundation; Nadia Heninger and William Clarkson, Princeton University; William Paul, Wind River Systems; Joseph A. Calandrino and Ariel J. Feldman, Princeton University; Jacob Appelbaum; Edward W. Felten, Princeton University
USENIX Security '08 Refereed Paper
Awarded Best Student Paper
Increasingly memory analysis is of interest in forensic research---both because new malware only resides in memory, and because memory analysis is frequently the only way for analysts to get the keys that are used to protect cryptographic file systems. In this paper the authors show that cryptographic keys in memory are vulnerable to exploitation after the computer is turned off. The authors show that the contents of dynamic RAM are retained seconds, and sometimes minutes, after power is turned off. By chilling the memory the data can be retained as long as necessary. And while most laptops wipe their memory when they reboot, the authors show that the chilled memory can be moved from one laptop that wipes to another laptop that does not wipe. Finally, the authors show that it is possible to find the cryptographic keys in memory and correct random bit errors by using the AES key schedule as an error-correction code. The authors demonstrate an attack USB stick which reboots a computer protected with BitLocker, finds the cryptographic keys, and then allows access to the cleartext information on the disk.

2008-July-27

The Symposium on Usable Privacy and Security (2008) concluded this past week in Pittsburgh, PA. One paper that appeared which is interesting to the network forensics crowd is The Challenges of Using an Intrusion Detection System: Is It Worth the Effort?, by Rodrigo Werlinger, Kirstie Hawkey, Kasia Muldner, Pooya Jaferian and Konstantin Beznosov. slides
In this article, the authors conducted interviews with 9 IT security practitioners who have worked with IDSs performed ethnographic observations within an organization that was deploying a new IDS. They found that security practitioners were heavily divided on the value of the IDS, and learned that the an IDS really only generates value if the network is well-understood before the IDS is deployed.

2008-July-20

The International Journal of Digital Evidence is one of two publications by the Electronic Crime Institute (ECI) at Utica College. Current and previous issues are available online.
The current Fall 2007 issue has an interesting article Mobile Phone Forensics Tool Testing: A Database Drive Approach by Baggili, Mislan, and Rogers at Purdue University. Given that phones are increasingly a primary source of forensic information in many cases, we need to be sure that the tools that are used for forensic analysis present data that is accurate and repeatable. Unfortunately they frequently aren't because of there are so many different kinds of phones on the market and the forensic tools lag far behind the market.

Ibrahim M. Baggili, Richard Mislan, Marcus Rogers -
International Journal of Digital Evidence 6,2007
http://www.utica.edu/academic/institutes/ecii/publications/articles/1C33DF76-D8D3-EFF5-47AE3681FD948D68.pdf
Bibtex
Author : Ibrahim M. Baggili, Richard Mislan, Marcus Rogers
Title :
In : International Journal of Digital Evidence -
Address :
Date : 2007


2008-July-12

Anandabrata Pal, Taha Sencar, Nasir Memon - Detecting File Fragmentation Point Using Sequential Hypothesis Testing
,2008
http://www.digital-assembly.com/technology/research/pubs/dfrws2008.pdf
Bibtex
Author : Anandabrata Pal, Taha Sencar, Nasir Memon
Title : Detecting File Fragmentation Point Using Sequential Hypothesis Testing
In : -
Address :
Date : 2008

This DFRWS 2008 article presents an improved approach for carving fragmented JPEGs using sequential hypothesis testing. According to the authors, "The technique begins with a header block identifying the start of a file and then attempts to validate via SHT each subsequent block following the header block. The fragmentation point is identified when SHT identifies a block as not belonging to the file. By utilizing this technique, we are able to correctly and efficiently recover JPEG images from the DFRWS 2006 [1] and 2007 [2] test sets even in the presence of tens of thousands of blocks and files fragmented into 3 or more parts. The bifragment gap carving technique enhanced with SHT allows us to improve the performance result of DFRWS 2006 challenge test-sets, although the technique cannot be used for DFRWS 2007. We then show how Parallel Unique Path enhanced with SHT is able to recover all fragmented JPEGs from DFRWS 2006 and all recoverable JPEGs from 2007 challenge test-sets. As far as we are aware, no other automated technique can recover multi-fragmented JPEGs from the DFRWS 2007 test set."



2008-July-5

Yoginder Singh Dandass, Nathan Joseph Necaise, Sherry Reede Thomas - An Empirical Analysis of Disk Sector Hashes for Data Carving
Journal of Digital Forensic Practice 2:95--106,2008
http://www.informaworld.com/10.1080/15567280802050436
Bibtex
Author : Yoginder Singh Dandass, Nathan Joseph Necaise, Sherry Reede Thomas
Title : An Empirical Analysis of Disk Sector Hashes for Data Carving
In : Journal of Digital Forensic Practice -
Address :
Date : 2008

Authors Dandass et. al analyzed 528 million sectors from 433,630 unique files. They computed the CRC32, CRC64, MD5 and SHA-1 of each sector. Not surprisingly, they find that the MD5 and SHA-1s of the sectors are different if the sectors are different. They find 94 CRC64 collisions and 30 million CRC32 collisions. The conclusion is that, if you are search for a single sector or building a database of single sector hashes, you are better off building a database of CRC64s because they are easier to store and dramatically faster to calculate than the traditional hash functions, and they are nearly as accurate.