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This is the '''Forensics Wiki''', a [http://creativecommons.org/licenses/by-sa/2.5/ Creative Commons]-licensed [http://en.wikipedia.org/wiki/Wiki wiki] devoted to information about [[digital forensics]] (also known as computer forensics). We currently list a total of [[Special:Allpages|{{NUMBEROFARTICLES}}]] pages.
 
This is the '''Forensics Wiki''', a [http://creativecommons.org/licenses/by-sa/2.5/ Creative Commons]-licensed [http://en.wikipedia.org/wiki/Wiki wiki] devoted to information about [[digital forensics]] (also known as computer forensics). We currently list a total of [[Special:Allpages|{{NUMBEROFARTICLES}}]] pages.
 
    
 
    
Much of [[computer forensics]] is focused on the [[tools]] and [[techniques]] used by [[investigator]]s, but there are also a number of important [[papers]], [[people]], and [[organizations]] involved. Many of those organizations sponsor [[conferences]] throughout the year and around the world. You may also wish to examine the popular [[journals]] and some special [[reports]].
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Much of [[computer forensics]] is focused on the [[tools]] and [[techniques]] used by [[investigator]]s, but there are also a number of important [[papers]], [[people]], and [[organizations]] involved. Many of those organizations sponsor [[Upcoming_events|conferences]] throughout the year and around the world. You may also wish to examine the popular [[journals]] and some special [[reports]].
 
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==WIKI NEWS==
 
==WIKI NEWS==
2012-feb-25: We continue to have problems with our hosting provider and are in the process of identifying a new one. Thank you for your patience.
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2013-05-15: You can now subscribe to Forensics Wiki Recent Changes with the [[ForensicsWiki FeedBurner Feed]]
  
 
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<h2 style="margin:0; background-color:#ffff33; font-size:120%; font-weight:bold; border:1px solid #afa3bf; text-align:left; color:#000; padding-left:0.4em; padding-top:0.2em; padding-bottom:0.2em;"> Featured Forensic Research </h2>
 
<h2 style="margin:0; background-color:#ffff33; font-size:120%; font-weight:bold; border:1px solid #afa3bf; text-align:left; color:#000; padding-left:0.4em; padding-top:0.2em; padding-bottom:0.2em;"> Featured Forensic Research </h2>
  
<small>Mar 2012</small>
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<small>May 2014</small>
 
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<bibtex>
 
<bibtex>
@inproceedings{Balasubramaniyan:2010:PUS:1866307.1866320,
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@inproceedings{Hurley:2013:MAC:2488388.2488444,
  author = {Balasubramaniyan, Vijay A. and Poonawalla, Aamir and Ahamad, Mustaque and Hunter, Michael T. and Traynor, Patrick},
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  author = {Hurley, Ryan and Prusty, Swagatika and Soroush, Hamed and Walls, Robert J. and Albrecht, Jeannie and Cecchet, Emmanuel and Levine, Brian Neil and Liberatore, Marc and Lynn, Brian and Wolak, Janis},
  title = {PinDr0p: using single-ended audio features to determine call provenance},
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  title = {Measurement and Analysis of Child Pornography Trafficking on P2P Networks},
  booktitle = {Proceedings of the 17th ACM conference on Computer and communications security},
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  booktitle = {Proceedings of the 22Nd International Conference on World Wide Web},
  series = {CCS '10},
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  series = {WWW '13},
  year = {2010},
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  year = {2013},
  isbn = {978-1-4503-0245-6},
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  isbn = {978-1-4503-2035-1},
  location = {Chicago, Illinois, USA},
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  location = {Rio de Janeiro, Brazil},
  pages = {109--120},
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  pages = {631--642},
 
  numpages = {12},
 
  numpages = {12},
  url = {http://doi.acm.org/10.1145/1866307.1866320},
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  url = {http://dl.acm.org/citation.cfm?id=2488388.2488444},
doi = {http://doi.acm.org/10.1145/1866307.1866320},
+
  acmid = {2488444},
  acmid = {1866320},
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  publisher = {International World Wide Web Conferences Steering Committee},
  publisher = {ACM},
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  address = {Republic and Canton of Geneva, Switzerland},
  address = {New York, NY, USA},
+
  keywords = {digital forensics, forensic triage},
  keywords = {VoIP, call fingerprinting, provenance, telephony},
+
 
}  
 
}  
 
 
</bibtex>
 
</bibtex>
The recent diversification of telephony infrastructure allows users to communicate through landlines, mobile phones and VoIP phones. However, call metadata such as Caller-ID is either not transferred or transferred without verification across these networks, allowing attackers to maliciously alter it. In this paper, we develop PinDr0p, a mechanism to assist users in determining call provenance — the source and the path taken by a call. Our techniques detect and mea- sure single-ended audio features to identify all of the applied voice codecs, calculate packet loss and noise profiles, while remaining agnostic to characteristics of the speaker’s voice (as this may le- gitimately change when interacting with a large organization). In the absence of verifiable call metadata, these features in combina- tion with machine learning allow us to determine the traversal of a call through as many as three different providers (e.g., cellular, then VoIP, then PSTN and all combinations and subsets thereof) with 91.6% accuracy. Moreover, we show that once we identify and characterize the networks traversed, we can create detailed fin- gerprints for a call source. Using these fingerprints we show that we are able to distinguish between calls made using specific PSTN, cellular, Vonage, Skype and other hard and soft phones from loca- tions across the world with over 90% accuracy. In so doing, we provide a first step in accurately determining the provenance of a call.
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Peer-to-peer networks are the most popular mechanism for the criminal acquisition and distribution of child pornography (CP). In this paper, we examine observations of peers sharing known CP on the eMule and Gnutella networks, which were collected by law enforcement using forensic tools that we developed. We characterize a year's worth of network activity and evaluate different strategies for prioritizing investigators' limited resources. The highest impact research in criminal forensics works within, and is evaluated under, the constraints and goals of investigations. We follow that principle, rather than presenting a set of isolated, exploratory characterizations of users.
  
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First, we focus on strategies for reducing the number of CP files available on the network by removing a minimal number of peers. We present a metric for peer removal that is more effective than simply selecting peers with the largest libraries or the most days online. Second, we characterize six aggressive peer subgroups, including: peers using Tor, peers that bridge multiple p2p networks, and the top 10% of peers contributing to file availability. We find that these subgroups are more active in their trafficking, having more known CP and more uptime, than the average peer. Finally, while in theory Tor presents a challenge to investigators, we observe that in practice offenders use Tor inconsistently. Over 90% of regular Tor users send traffic from a non-Tor IP at least once after first using Tor.
 
(See also [[Past Selected Articles]])
 
(See also [[Past Selected Articles]])
  
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* '''[[Tools#Disk_Analysis_Tools|Disk Analysis]]''': [[EnCase]], [[SMART]], [[Sleuthkit]], [[foremost]], [[Scalpel]], [[frag_find]]...
 
* '''[[Tools#Disk_Analysis_Tools|Disk Analysis]]''': [[EnCase]], [[SMART]], [[Sleuthkit]], [[foremost]], [[Scalpel]], [[frag_find]]...
 
* '''[[Tools#Forensics_Live_CDs|Live CDs]]''': [[DEFT Linux]], [[Helix]] ([[Helix3 Pro|Pro]]), [[FCCU Gnu/Linux Boot CD]], [[Knoppix STD]], ...
 
* '''[[Tools#Forensics_Live_CDs|Live CDs]]''': [[DEFT Linux]], [[Helix]] ([[Helix3 Pro|Pro]]), [[FCCU Gnu/Linux Boot CD]], [[Knoppix STD]], ...
* '''[[Tools:Document Metadata Extraction|Metadata Extraction]]''': [[wvWare]], [[jhead]], [[Hachoir | hachoir-metadata]], ...
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* '''[[Tools:Document Metadata Extraction|Metadata Extraction]]''': [[wvWare]], [[jhead]], [[Hachoir | hachoir-metadata]], [[Photo Investigator]]...
 
* '''[[Tools:File Analysis|File Analysis]]''': [[file]], [[ldd]], [[ltrace]], [[strace]], [[strings]], ...
 
* '''[[Tools:File Analysis|File Analysis]]''': [[file]], [[ldd]], [[ltrace]], [[strace]], [[strings]], ...
 
* '''[[Tools:Network_Forensics|Network Forensics]]''': [[Snort]],  [[Wireshark]], [[Kismet]],  [[NetworkMiner]]...
 
* '''[[Tools:Network_Forensics|Network Forensics]]''': [[Snort]],  [[Wireshark]], [[Kismet]],  [[NetworkMiner]]...

Revision as of 12:13, 21 April 2014

This is the Forensics Wiki, a Creative Commons-licensed wiki devoted to information about digital forensics (also known as computer forensics). We currently list a total of 712 pages.

Much of computer forensics is focused on the tools and techniques used by investigators, but there are also a number of important papers, people, and organizations involved. Many of those organizations sponsor conferences throughout the year and around the world. You may also wish to examine the popular journals and some special reports.


WIKI NEWS

2013-05-15: You can now subscribe to Forensics Wiki Recent Changes with the ForensicsWiki FeedBurner Feed

Featured Forensic Research

May 2014

Hurley, Ryan, Prusty, Swagatika, Soroush, Hamed, Walls, Robert J., Albrecht, Jeannie, Cecchet, Emmanuel, Levine, Brian Neil, Liberatore, Marc, Lynn, Brian, Wolak, Janis - Measurement and Analysis of Child Pornography Trafficking on P2P Networks
Proceedings of the 22Nd International Conference on World Wide Web pp. 631--642, Republic and Canton of Geneva, Switzerland,2013
http://dl.acm.org/citation.cfm?id=2488388.2488444
Bibtex
Author : Hurley, Ryan, Prusty, Swagatika, Soroush, Hamed, Walls, Robert J., Albrecht, Jeannie, Cecchet, Emmanuel, Levine, Brian Neil, Liberatore, Marc, Lynn, Brian, Wolak, Janis
Title : Measurement and Analysis of Child Pornography Trafficking on P2P Networks
In : Proceedings of the 22Nd International Conference on World Wide Web -
Address : Republic and Canton of Geneva, Switzerland
Date : 2013

Peer-to-peer networks are the most popular mechanism for the criminal acquisition and distribution of child pornography (CP). In this paper, we examine observations of peers sharing known CP on the eMule and Gnutella networks, which were collected by law enforcement using forensic tools that we developed. We characterize a year's worth of network activity and evaluate different strategies for prioritizing investigators' limited resources. The highest impact research in criminal forensics works within, and is evaluated under, the constraints and goals of investigations. We follow that principle, rather than presenting a set of isolated, exploratory characterizations of users.

First, we focus on strategies for reducing the number of CP files available on the network by removing a minimal number of peers. We present a metric for peer removal that is more effective than simply selecting peers with the largest libraries or the most days online. Second, we characterize six aggressive peer subgroups, including: peers using Tor, peers that bridge multiple p2p networks, and the top 10% of peers contributing to file availability. We find that these subgroups are more active in their trafficking, having more known CP and more uptime, than the average peer. Finally, while in theory Tor presents a challenge to investigators, we observe that in practice offenders use Tor inconsistently. Over 90% of regular Tor users send traffic from a non-Tor IP at least once after first using Tor. (See also Past Selected Articles)

Featured Article

Forensic Linux Live CD issues
Forensic Linux Live CD distributions are widely used during computer forensic investigations. Currently, many vendors of such Live CD distributions state that their Linux do not modify the contents of hard drives or employ "write protection." Testing indicates that this may not always be the case. Read More...


Topics



You can help! We have a list of articles that need to be expanded. If you know anything about any of these topics, please feel free to chip in.