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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]]. | + | 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> | ||
− | |||
+ | ==WIKI NEWS== | ||
+ | 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> | + | <small>May 2014</small> |
− | + | ||
<bibtex> | <bibtex> | ||
− | @ | + | @inproceedings{Hurley:2013:MAC:2488388.2488444, |
− | author={ | + | 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 = {Measurement and Analysis of Child Pornography Trafficking on P2P Networks}, | |
− | + | booktitle = {Proceedings of the 22Nd International Conference on World Wide Web}, | |
− | + | series = {WWW '13}, | |
− | + | year = {2013}, | |
− | + | isbn = {978-1-4503-2035-1}, | |
− | + | location = {Rio de Janeiro, Brazil}, | |
− | pages={ | + | pages = {631--642}, |
− | + | numpages = {12}, | |
− | + | url = {http://dl.acm.org/citation.cfm?id=2488388.2488444}, | |
− | + | acmid = {2488444}, | |
− | + | publisher = {International World Wide Web Conferences Steering Committee}, | |
+ | address = {Republic and Canton of Geneva, Switzerland}, | ||
+ | keywords = {digital forensics, forensic triage}, | ||
+ | } | ||
</bibtex> | </bibtex> | ||
− | + | 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]]) | (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]], ... | + | * '''[[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 16:13, 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 863 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 ResearchMay 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
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
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