Difference between pages "Training Courses and Providers" and "Past Selected Articles"

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This is the list of Scheduled Training Courses, referred to by [[Upcoming_events]]. 
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''Archived past selected research articles''
  
<b>PLEASE READ BEFORE YOU EDIT THE LIST BELOW</b><br>
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<small>JULY-2010</small>
Events should be posted in date order.  An event should NEVER be listed in more than one section (i.e. Ongoing/Continuous events should not be listed in Scheduled Training).  When events begin the same day, events of a longer length should be listed first.  New postings of events with the same date(s) as other events should be added after events already in the list. If a provider offers the same event at several locations simultaneously, the listing should have a single (ONE) entry in the list with the date(s) and ALL locations for the event. Please use three-letter month abbreviations (i.e. Sep, NOT Sept. or September), use two digit dates (i.e. Jan 01 NOT Jan 1), and use date ranges rather than listing every date during an event(i.e. Jan 02-05, NOT Jan 02, 03, 04, 05).<br>
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<i>Some training opportunities may be <u>limited</u> to <b>Law Enforcement Only</b> or to a specific audience.  Such restrictions should be noted when known.</i>
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The Conference and Training List is provided by the American Academy of Forensic Sciences (AAFS) Digital and Multi-media Listserv. 
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The slides from the first ever Sleuth Kit and Open Source Digital Forensics Conference are now available online:
<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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Requests for additions, deletions or corrections to this list may be sent by email to David Baker <i>(bakerd AT mitre.org)</i>.
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{| border="0" cellpadding="2" cellspacing="2" align="top"
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* http://www.basistech.com/conference/2010/digital-forensics-agenda.html
|- style="background:#bfbfbf; font-weight: bold"
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! Title
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Highlights include:
! Date/Location
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* [http://www.basistech.com/conference/2010/osdf-slides/Carrier-SleuthKitOverview.pdf The Sleuth Kit Overview and Automated Scanning Features] (Brian Carrier)
! Website
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* [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)
! Limitation
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* [http://www.basistech.com/conference/2010/osdf-slides/Forte-PTK-Forensics.pdf PTK Forensics after Two years: Past, Present and Future] (Dario Forte)
|-
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* [http://www.basistech.com/conference/2010/osdf-slides/Joyce-Mac-Forensics-SleuthKit.pdf Mac Forensic Tools Using Sleuth Kit] (Rob Joyce)
|BlackBag Introductory MacIntosh Forensics
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* [http://www.basistech.com/conference/2010/osdf-slides/Altheide-Commando-Forensics.pdf Commando Forensics: What Dongle?] (Cory Altheide)
|Oct 06-10, Los Angeles, CA
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* [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)
|http://www.blackbagtech.com/products/training.htm
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* [http://www.basistech.com/conference/2010/osdf-slides/Carvey-Timelines.pdf Timeline Creation using Open-Source Tools] (Harlan Carvey)
|-
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|X-Ways Forensics
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|Oct 07-09, London, UK
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<small>MARCH-2010</small>
|http://www.x-ways.net/training/london.html
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;[http://portal.acm.org/citation.cfm?id=1592451.1592455  Internet geolocation: Evasion and counterevasion]
|-
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; ACM Computing Surveys (CSUR), Volume 42 ,  Issue 1  (December 2009)
|AccessData&reg; Windows Forensics
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<blockquote>
|Oct 07-09, Las Vegas, NV and New York City, NY
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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>
|http://www.accessdata.com/common/pagedetail.aspx?PageCode=train
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|-
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|WetStone- Steganography Investigator Training
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|Oct 13-14, The Netherlands ENFSC Conference
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<small>FEB-2010</small>
|https://www.wetstonetech.com/trainings.html
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[http://www.ojp.usdoj.gov/nij/journals/259/csi-effect.htm The 'CSI Effect': Does It Really Exist?], by The Honorable Donald E. Shelton
|-
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|AccessData&reg; BootCamp
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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"!
|Oct 14-16, Louisville, KY
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|http://www.accessdata.com/common/pagedetail.aspx?PageCode=train
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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....
|Limited to Law Enforcement
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|-
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<small>JAN-2010</small>
|WetStone- Live Investigator Training
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[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.
|Oct 18-19, Atlantic City, NJ HTCIA Conference
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|https://www.wetstonetech.com/trainings.html
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Abstract
|-
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|Computer Hacking Forensic Investigator CHFI Prep/QFE Qualified Forensics Expert
+
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.
|Oct 20-24, Reston, VA
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|http://www.securityuniversity.net/classes_CHFI_QFE.php
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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.
|-
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|Interpol "Train-the-Trainer" Workshop on Computer Forensics
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|Oct 20-24, Hong Kong Police College
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<small>December-2009</small>
|http://training.tcd.hk
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;'''[http://blogs.sans.org/computer-forensics/2009/02/04/what-happens-when-you-overwrite-data/ What happens when you overwrite data?]'''.
|Limited to Law Enforcement
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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."
|-
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|Windows NT Operating System(NTOS)
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|Oct 20-23, St. Louis, MO
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<small>November-2009</small>
|http://www.nw3c.org/ocr/courses_desc.cfm
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;'''[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'''
|Limited to Law Enforcement
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|-
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The paper opens discussion about building forensically sound Live CD distributions based on Linux. Problems described:
|EnCase&reg; v6 Computer Forensics II
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* Common misconceptions about "-o ro" mount option (is it forensically sound?);
|Oct 21-24, Toronto, Canada
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* Bugs in many forensic Live CDs that alter the data on evidentiary media.
|http://www.guidancesoftware.com/training/course_schedule.aspx
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|-
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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.
|AccessData&reg; Applied Decryption
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|Oct 23-25, Sterling, VA
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<small>September-2009</small>
|http://guest.cvent.com/EVENTS/Info/Summary.aspx?e=ab0c756b-3cf8-4161-8a70-0c11c6f018fc
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;'''[http://www.blackhat.com/presentations/bh-dc-08/FX/Whitepaper/bh-dc-08-fx-WP.pdf Cisco IOS Forensics]'''
|-
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"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.
|SARC - Certified Steganography Examiner Training
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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."
|Oct 23-24, Gaithersburg, MD
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|http://www.sarc-wv.com/training/training_gaithersburg.aspx
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|-
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<small>July-2009</small>
|WetStone- Live Investigator Training
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;'''[http://viaforensics.com/wpinstall/wp-content/uploads/2009/08/Android-Forensics-Andrew-Hoog-viaForensics.pdf Android Forensics]'''
|Oct 24-25, Gaithersburg, MD Techno Forensics Conference
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: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.
|https://www.wetstonetech.com/trainings.html
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|-
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<small>2009-June</small>
|WetStone- Steganography Investigator Training
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; [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 
|Oct 24-25, Gaithersburg, MD Techno Forensics Conference
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Korea Univ., Seoul,  International Conference on Multimedia and Ubiquitous Engineering, 2008. MUE 2008/
|https://www.wetstonetech.com/trainings.html
+
 
|-
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Abstract:
|X-Ways Forensics (3 days), File Systems Revealed (2 days)
+
: 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.
|Oct 27-31, Canberra, Australia
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|http://www.x-ways.net/training/
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|Limited to Law Enforcement/Government
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<small>2009-May</small>
|-
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; [[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
|EnCase&reg; v6 EnScript&reg;  Programming - Phase I
+
: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
|Oct 28-31, Toronto, Canada
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|http://www.guidancesoftware.com/training/course_schedule.aspx
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<small>2009-Apr</small>
|-
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; [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
|AccessData&reg; Windows Forensics
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: 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.
|Oct 28-30, Manchester, United Kingdom
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|http://www.accessdata.com/common/pagedetail.aspx?PageCode=train
+
 
|-
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<small>2009-Feb-08</small>
|X-Ways Forensics
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; [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 
|Nov 03-05, Sydney, Australia
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: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.
|http://www.x-ways.net/training/sydney.html
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|-
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|Macintosh Forensic Survival Course (MFSC)  
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<small>2009-JAN-01</small>
|Nov 03-07, Bern, Switzerland
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; [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
|http://www.forwarddiscovery.com/shop/index.php?act=viewCat&catId=3
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: 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.
|-
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|Windows NT File System(NTFS)
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<small>2008-Nov-18</small>
|Nov 03-06, Meriden, CT
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; [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
|http://www.nw3c.org/ocr/courses_desc.cfm
+
: 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.
|Limited to Law Enforcement
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|-
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<small>2008-Oct-30</small>
|EnCase&reg; v6 Computer Forensics II
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; [[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.
|Nov 04-07, Toronto, Canada
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: 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.
|http://www.guidancesoftware.com/training/course_schedule.aspx
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|-
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<small>2008-Oct-24</small>
|AccessData&reg; BootCamp
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; [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
|Nov 04-06, London, United Kingdom
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: 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.)
|http://www.accessdata.com/common/pagedetail.aspx?PageCode=train
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|-
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<small>2008-Oct-18</small>
|AccessData&reg; Internet Forensics
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; [http://www.cs.umass.edu/~miklau/pubs/sigmod2007LMS/stahlberg07forensicDB.pdf Threats to Privacy in the Forensic Analysis of Database Systems]
|Nov 04-06, St Paul, MN
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: Patrick Stahlberg, Gerome Miklau, and Brian Neil Levine
|http://www.accessdata.com/common/pagedetail.aspx?PageCode=train
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: Proceedings of the 2007 ACM SIGMOD international conference on Management of data table of contents
|-
+
: Beijing, China.
|AccessData&reg; Windows Forensics
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: 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.
|Nov 04-06, Albany, NY
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|http://www.accessdata.com/common/pagedetail.aspx?PageCode=train
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<small>2008-Aug-13</small>
|-
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; [http://www.usenix.org/events/sec08/tech/halderman.html Lest We Remember: Cold Boot Attacks on Encryption Keys]
|X-Ways Forensics
+
: 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
|Nov 11-13, Hong Kong
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: [http://www.usenix.org/events/sec08/ USENIX Security '08 Refereed Paper]
|http://www.x-ways.net/training/hong_kong.html
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: Awarded Best Student Paper
|-
+
 
|WetStone- Steganography Investigator Training
+
: 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.
|Nov 11-12, Fairfax, VA
+
 
|https://www.wetstonetech.com/trainings.html
+
<small>2008-July-27</small>
|-
+
; 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]
|BlackBag Intermediate MacIntosh Forensics
+
 
|Nov 17-21, Washington D.C.
+
: 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.
|http://www.blackbagtech.com/products/training.htm
+
 
|-
+
<small>2008-July-20</small>
|WetStone- Hacking BootCamp for Investigators
+
;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.
|Nov 18-21, Vancouver BC
+
 
|https://www.wetstonetech.com/trainings.html
+
: 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.
|-
+
 
|EnCase&reg; v6 Network Intrusion Investigations - Phase I
+
<bibtex>
|Nov 18-21, Toronto, Canada
+
@article{title="Mobile Phone Forensics Tool Testing: A Database Driven Approach",
|http://www.guidancesoftware.com/training/course_schedule.aspx
+
author="Ibrahim M. Baggili and Richard Mislan and Marcus Rogers",
|-
+
journal="International Journal of Digital Evidence",
|EnCase&reg; v6 Computer Forensics II
+
year=2007,
|Nov 25-28, Toronto, Canada
+
volume=6,
|http://www.guidancesoftware.com/training/course_schedule.aspx
+
issue=2,
|-
+
url="http://www.utica.edu/academic/institutes/ecii/publications/articles/1C33DF76-D8D3-EFF5-47AE3681FD948D68.pdf",
|AccessData&reg; Internet Forensics
+
abstract="The Daubert process used in the admissibility of evidence contains major guidelines
|Nov 25-27, Manchester, United Kingdom
+
applied in assessing forensic procedures, two of which are testing and error rates. The
|http://www.accessdata.com/common/pagedetail.aspx?PageCode=train
+
Digital Forensic Science (DFS) community is growing and the error rates for the forensic
|-
+
tools need to be continuously re-evaluated as the technology changes. This becomes
|BlackBag Intermediate MacIntosh Forensics
+
more difficult in the case of mobile phone forensics, because they are proprietary. This
|Dec 01-05, San Diego, CA
+
paper discusses a database driven approach that could be used to store data about the
|http://www.blackbagtech.com/products/training.htm
+
mobile phone evidence acquisition testing process. This data can then be used to
|-
+
calculate tool error rates, which can be published and used to validate or invalidate the
|Windows Internet Trace Evidence(INET)
+
mobile phone acquisition tools. "
|Dec 01-05, St. Louis, MO
+
}
|http://www.nw3c.org/ocr/courses_desc.cfm
+
</bibtex>
|Limited to Law Enforcement
+
 
|-
+
 
|AccessData&reg; Windows Forensics
+
<small>2008-July-12</small>
|Dec 02-04, Ft Lauderdale, FL; New York City, NY; and London, United Kingdom
+
 
|http://www.accessdata.com/common/pagedetail.aspx?PageCode=train
+
<bibtex>
|-
+
@article{
|Fundamentals of Computer Forensics Imaging
+
  misc="",
|Dec 02-05, Falls Church, VA
+
  publisher="DFRWS 2008",
|http://www.mantech.com/msma/isso.asp
+
  author="Anandabrata Pal and Taha Sencar and Nasir Memon",
|-
+
  title="Detecting File Fragmentation Point Using Sequential Hypothesis Testing",
|Computer Hacking Forensic Investigator CHFI Prep/QFE Qualified Forensics Expert
+
  year=2008,
|Dec 08-12, Reston, VA
+
  abstract="Abstract—File carving is a technique whereby data files are
|http://www.securityuniversity.net/classes_CHFI_QFE.php
+
extracted from a digital device without the assistance of file
|-
+
tables or other disk meta-data. One of the primary challenges in
|Windows NT Operating System(NTOS)
+
file carving can be found in attempting to recover files that are
|Dec 08-11, Meriden, CT
+
fragmented. In this paper, we show how detecting the point of
|http://www.nw3c.org/ocr/courses_desc.cfm
+
fragmentation of a file can benefit fragmented file recovery. We
|Limited to Law Enforcement
+
then present a sequential hypothesis testing procedure to identify
|-
+
the fragmentation point of a file by sequentially comparing
|Application Forensics Course
+
adjacent pairs of blocks from the starting block of a file until
|Dec 08-19, Hong Kong Police College
+
the fragmentation point is reached. By utilizing serial analysis we
|http://www.police.gov.hk/police/policecollege/english/pdl/pold.htm
+
are able to to minimize the errors in detecting the fragmentation
|Limited to Law Enforcement
+
points. The performance results obtained from the fragmented
|-
+
test-sets of DFRWS 2006 and 2007 show that the method can be
|EnCase&reg; v6 Computer Forensics II
+
effectively used in recovery of fragmented files.
|Dec 09-12, Toronto, Canada
+
clear that recovery of fragmented files is a critical problem in
|http://www.guidancesoftware.com/training/course_schedule.aspx
+
forensics. ",
|-
+
  url="http://www.digital-assembly.com/technology/research/pubs/dfrws2008.pdf"
|AccessData&reg; Internet Forensics
+
}
|Dec 09-11, Dallas, TX and New York City, NY
+
</bibtex>
|http://www.accessdata.com/common/pagedetail.aspx?PageCode=train
+
 
|-
+
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,  
|AccessData&reg; Windows Forensics
+
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."
|Dec 09-11, Louisville, KY
+
 
|http://www.accessdata.com/common/pagedetail.aspx?PageCode=train
+
 
|Limited to Law Enforcement
+
 
|-
+
 
|EnCase&reg; v6 Advanced Computer Forensics
+
 
|Dec 16-19, Toronto, Canada
+
<small>2008-July-5</small>
|http://www.guidancesoftware.com/training/course_schedule.aspx
+
 
|-
+
<bibtex>
|AccessData&reg; BootCamp
+
@article{
|Dec 16-18, Manchester, United Kingdom
+
  publisher="Taylor & Francis",
|http://www.accessdata.com/common/pagedetail.aspx?PageCode=train
+
  journal="Journal of Digital Forensic Practice", 
|-
+
  author="Yoginder Singh Dandass and Nathan Joseph Necaise and Sherry Reede Thomas",
|**__2009 EVENTS__**
+
  title="An Empirical Analysis of Disk Sector Hashes for Data Carving",
|_______2009_______
+
  year=2008,
|-
+
  volume=2,
|Linux File System for Computer Forensic Examiners(Linux)
+
  issue=2,
|Jan 12-16, 2009, St. Louis, MO
+
  pages="95--106",
|http://www.nw3c.org/ocr/courses_desc.cfm
+
  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.
|Limited to Law Enforcement
+
 
|-
+
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.",
|Windows Internet Trace Evidence(INET)
+
  url="http://www.informaworld.com/10.1080/15567280802050436"
|Jan 19-23, 2009, Meriden, CT
+
}
|http://www.nw3c.org/ocr/courses_desc.cfm
+
</bibtex>
|Limited to Law Enforcement
+
 
|-
+
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.
|Linux File System for Computer Forensic Examiners(Linux)
+
|Mar 02-06, 2009, Meriden, CT
+
|http://www.nw3c.org/ocr/courses_desc.cfm
+
|Limited to Law Enforcement
+
|-
+
|}
+

Revision as of 16:53, 10 August 2010

Archived past selected research articles

JULY-2010

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.