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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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<!-- Selected Forensics Research -->   
 
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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>2010-DEC</small>
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;[http://www.clir.org/pubs/abstract/pub149abst.html Digital Forensics and Born-Digital Content in Cultural Heritage Collections]
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:ABSTRACT
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: While the purview of digital forensics was once specialized to fields of law enforcement, computer security, and national defense, the increasing ubiquity of computers and electronic devices means that digital forensics is now used in a wide variety of cases and circumstances. Most records today are born digital, and libraries and other collecting institutions increasingly receive computer storage media as part of their acquisition of "papers" from writers, scholars, scientists, musicians, and public figures. This poses new challenges to librarians, archivists, and curators—challenges related to accessing and preserving legacy formats, recovering data, ensuring authenticity, and maintaining trust. The methods and tools developed by forensics experts represent a novel approach to these demands. For example, the same forensics software that indexes a criminal suspect's hard drive allows the archivist to prepare a comprehensive manifest of the electronic files a donor has turned over for accession.
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:This report introduces the field of digital forensics in the cultural heritage sector and explores some points of convergence between the interests of those charged with collecting and maintaining born-digital cultural heritage materials and those charged with collecting and maintaining legal evidence.
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<small>June 2013</small>
(Past selected articles [[Past Selected Articles|are archived here]].)
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<bibtex>
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@INPROCEEDINGS{6503202,
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author={Gessiou, E. and Volanis, S. and Athanasopoulos, E. and Markatos, E.P. and Ioannidis, S.},
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booktitle={Global Communications Conference (GLOBECOM), 2012 IEEE},
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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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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 719 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...


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