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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]].
 
</div>   
 
</div>   
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==WIKI NEWS==
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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>August 2011</small>
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<small>May 2014</small>
 
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<bibtex>
 
<bibtex>
@article{beverly:ipcarving,
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@inproceedings{Hurley:2013:MAC:2488388.2488444,
  author = "Robert Beverly and Simson Garfinkel and Gregory Cardwell",
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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},
journal = "Digital Investigation",
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  title = {Measurement and Analysis of Child Pornography Trafficking on P2P Networks},
  publisher="Elsevier",
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  booktitle = {Proceedings of the 22Nd International Conference on World Wide Web},
  booktitle = {Proc. of the Eleventh Annual DFRWS Conference},
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  series = {WWW '13},
  title = "Forensic Carving of Network Packets and Associated Data Structures",
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  year = {2013},
  volume=8
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  isbn = {978-1-4503-2035-1},
  year = 2011,
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  location = {Rio de Janeiro, Brazil},
  abstract="Using validated carving techniques, we show that popular operating systems (\eg Windows, Linux, and OSX) frequently have residual IP packets, Ethernet frames,  and associated data structures present in system memory  from long-terminated network traffic. Such information is useful  for many forensic purposes including establishment of  prior connection activity and services used;  identification of other  systems present on the system's LAN or WLAN; geolocation of the  host computer system; and cross-drive analysis. We show that network structures can also be  recovered from memory that is persisted onto a mass storage medium  during the course of system swapping or hibernation.   We present our network carving techniques, algorithms and tools,   and validate these against both purpose-built memory images and a readily  available forensic corpora. These techniques are  valuable to both forensics tasks, particularly  in analyzing mobile devices, and to cyber-security objectives such  as malware analysis."
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pages = {631--642},
}
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  numpages = {12},
 +
url = {http://dl.acm.org/citation.cfm?id=2488388.2488444},
 +
acmid = {2488444},
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publisher = {International World Wide Web Conferences Steering Committee},
 +
address = {Republic and Canton of Geneva, Switzerland},
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  keywords = {digital forensics, forensic triage},
 +
}  
 
</bibtex>
 
</bibtex>
<i><small>Using validated carving techniques, we show that popular operating systems (\eg Windows, Linux, and OSX) frequently have residual IP packets, Ethernet frames,  and associated data structures present in system memory  from long-terminated network traffic. Such information is useful  for many forensic purposes including establishment of   prior connection activity and services used;  identification of other  systems present on the system's LAN or WLAN; geolocation of the  host computer system; and cross-drive analysis. We show that network structures can also be  recovered from memory that is persisted onto a mass storage medium  during the course of system swapping or hibernation.   We present our network carving techniques, algorithms and tools,  and validate these against both purpose-built memory images and a readily  available forensic corpora.  These techniques are  valuable to both forensics tasks, particularly  in analyzing mobile devices, and to cyber-security objectives such  as malware analysis.</small></i>
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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 725 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.