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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>Jan 2013</small>
 
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<bibtex>
 
<bibtex>
@inproceedings{Balasubramaniyan:2010:PUS:1866307.1866320,
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@article{young:distinct,
author = {Balasubramaniyan, Vijay A. and Poonawalla, Aamir and Ahamad, Mustaque and Hunter, Michael T. and Traynor, Patrick},
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  title="Distinct Sector hashing for Target Detection",
  title = {PinDr0p: using single-ended audio features to determine call provenance},
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  author="Joel Young and Kristina Foster and Simson Garfinkel and Kevin Fairbanks",
  booktitle = {Proceedings of the 17th ACM conference on Computer and communications security},
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  year=2012,
series = {CCS '10},
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  month=Dec,
  year = {2010},
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  journal="IEEE Computer"
  isbn = {978-1-4503-0245-6},
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}
  location = {Chicago, Illinois, USA},
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pages = {109--120},
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numpages = {12},
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url = {http://doi.acm.org/10.1145/1866307.1866320},
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doi = {http://doi.acm.org/10.1145/1866307.1866320},
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acmid = {1866320},
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publisher = {ACM},
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address = {New York, NY, USA},
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keywords = {VoIP, call fingerprinting, provenance, telephony},
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}
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</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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Using an alternative approach to traditional file hashing, digital forensic investigators can hash individually sampled subject drives on sector boundaries and then check these hashes against a prebuilt database, making it possible to process raw media without reference to the underlying file system.
  
 
(See also [[Past Selected Articles]])
 
(See also [[Past Selected Articles]])

Revision as of 23:02, 15 May 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 724 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

Jan 2013

Joel Young, Kristina Foster, Simson Garfinkel, Kevin Fairbanks - Distinct Sector hashing for Target Detection
IEEE Computer , December 2012
Bibtex
Author : Joel Young, Kristina Foster, Simson Garfinkel, Kevin Fairbanks
Title : Distinct Sector hashing for Target Detection
In : IEEE Computer -
Address :
Date : December 2012

Using an alternative approach to traditional file hashing, digital forensic investigators can hash individually sampled subject drives on sector boundaries and then check these hashes against a prebuilt database, making it possible to process raw media without reference to the underlying file system.

(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



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