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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.
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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 [[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==
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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>
  
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<small>June 2013</small>
<small>MARCH-2010</small>
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<bibtex>
;[http://portal.acm.org/citation.cfm?id=1592451.1592455  Internet geolocation: Evasion and counterevasion]
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@INPROCEEDINGS{6503202,
; ACM Computing Surveys (CSUR), Volume 42 , Issue 1  (December 2009)
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author={Gessiou, E. and Volanis, S. and Athanasopoulos, E. and Markatos, E.P. and Ioannidis, S.},
<blockquote>
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booktitle={Global Communications Conference (GLOBECOM), 2012 IEEE},  
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>
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title={Digging up social structures from documents on the web},
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year={2012},
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pages={744-750},
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abstract={We collected more than ten million Microsoft Office documents from public websites, analyzed the metadata stored in each document and extracted information related to social activities. Our analysis revealed the existence of exactly identified cliques of users that edit, revise and collaborate on industrial and military content. We also examined cliques in documents downloaded from Fortune-500 company websites. We constructed their graphs and measured their properties. The graphs contained many connected components and presented social properties. The a priori knowledge of a company's social graph may significantly assist an adversary to launch targeted attacks, such as targeted advertisements and phishing emails. Our study demonstrates the privacy risks associated with metadata by cross-correlating all members identified in a clique with users of Twitter. We show that it is possible to match authors collaborating in the creation of a document with Twitter accounts. To the best of our knowledge, this study is the first to identify individuals and create social cliques solely based on information derived from document metadata. Our study raises major concerns about the risks involved in privacy leakage due to document metadata.},
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keywords={data privacy;document handling;graph theory;meta data;social networking (online);Fortune-500 company Websites;Microsoft Office documents;Twitter accounts;company social graph;document metadata;information extraction;metadata analysis;phishing emails;privacy leakage;privacy risks;public Websites;social activities;social cliques;social properties;social structures;targeted advertisements},
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doi={10.1109/GLOCOM.2012.6503202},  
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ISSN={1930-529X},}
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</bibtex>
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We collected more than ten million Microsoft Office documents from public websites, analyzed the metadata stored in each document and extracted information related to social activities. Our analysis revealed the existence of exactly identified cliques of users that edit, revise and collaborate on industrial and military content. We also examined cliques in documents downloaded from Fortune-500 company websites. We constructed their graphs and measured their properties. The graphs contained many connected components and presented social properties. The a priori knowledge of a company's social graph may significantly assist an adversary to launch targeted attacks, such as targeted advertisements and phishing emails. Our study demonstrates the privacy risks associated with metadata by cross-correlating all members identified in a clique with users of Twitter. We show that it is possible to match authors collaborating in the creation of a document with Twitter accounts. To the best of our knowledge, this study is the first to identify individuals and create social cliques solely based on information derived from document metadata. Our study raises major concerns about the risks involved in privacy leakage due to document metadata.
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http://cis.poly.edu/~gessiou/reports/metadata.pdf
  
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(See also [[Past Selected Articles]])
  
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;[[Forensic Linux Live CD issues]]
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: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. [[Forensic Linux Live CD issues|Read More...]]
  
 
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* [[Steganography]], [[Steganalysis]]
 
* [[Steganography]], [[Steganalysis]]
 
* '''[[Metadata]]:''' [[MAC times]], [[ACLs]], [[Email Headers]], [[Exif]], [[ID3]], [[OLE-2]], ...
 
* '''[[Metadata]]:''' [[MAC times]], [[ACLs]], [[Email Headers]], [[Exif]], [[ID3]], [[OLE-2]], ...
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* '''[[Legal issues]]:''' [[Caselaw|Case law]]
 
* '''Further information:''' [[Books]], [[Papers]], [[Reports]], [[Journals]], [[Websites]], [[Blogs]], [[Mailing lists]], [[Organizations]], [[Vendors]], [[Conferences]]
 
* '''Further information:''' [[Books]], [[Papers]], [[Reports]], [[Journals]], [[Websites]], [[Blogs]], [[Mailing lists]], [[Organizations]], [[Vendors]], [[Conferences]]
 
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Revision as of 16:59, 30 June 2013

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

June 2013

Gessiou, E., Volanis, S., Athanasopoulos, E., Markatos, E.P., Ioannidis, S. - Digging up social structures from documents on the web
Global Communications Conference (GLOBECOM), 2012 IEEE pp. 744-750,2012
Bibtex
Author : Gessiou, E., Volanis, S., Athanasopoulos, E., Markatos, E.P., Ioannidis, S.
Title : Digging up social structures from documents on the web
In : Global Communications Conference (GLOBECOM), 2012 IEEE -
Address :
Date : 2012

We collected more than ten million Microsoft Office documents from public websites, analyzed the metadata stored in each document and extracted information related to social activities. Our analysis revealed the existence of exactly identified cliques of users that edit, revise and collaborate on industrial and military content. We also examined cliques in documents downloaded from Fortune-500 company websites. We constructed their graphs and measured their properties. The graphs contained many connected components and presented social properties. The a priori knowledge of a company's social graph may significantly assist an adversary to launch targeted attacks, such as targeted advertisements and phishing emails. Our study demonstrates the privacy risks associated with metadata by cross-correlating all members identified in a clique with users of Twitter. We show that it is possible to match authors collaborating in the creation of a document with Twitter accounts. To the best of our knowledge, this study is the first to identify individuals and create social cliques solely based on information derived from document metadata. Our study raises major concerns about the risks involved in privacy leakage due to document metadata. http://cis.poly.edu/~gessiou/reports/metadata.pdf

(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.