Difference between revisions of "Past Selected Articles"

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''Archived past selected research articles''
 
''Archived past selected research articles''
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<small>2008-July-20</small>
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The [http://www.utica.edu/academic/institutes/ecii/ijde/ International Journal of Digital Evidence] is one of two publications by the [http://www.utica.edu/academic/institutes/ecii/ Electronic Crime Institute (ECI)] at Utica College. Current and previous issues are available online.
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The current Fall 2007 issue has an interesting article [http://www.utica.edu/academic/institutes/ecii/publications/articles/1C33DF76-D8D3-EFF5-47AE3681FD948D68.pdf Mobile Phone Forensics Tool Testing: A Database Drive Approach] by Baggili, Mislan, and Rogers at Purdue University. Given that phones are increasingly a primary source of forensic information in many cases, we need to be sure that the tools that are used for forensic analysis present data that is accurate and repeatable. Unfortunately they frequently aren't because of there are so many different kinds of phones on the market and the forensic tools lag far behind the market.
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<bibtex>
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@article{title="Mobile Phone Forensics Tool Testing: A Database Driven Approach",
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author="Ibrahim M. Baggili and Richard Mislan and Marcus Rogers",
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journal="International Journal of Digital Evidence",
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year=2007,
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volume=6,
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issue=2,
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url="http://www.utica.edu/academic/institutes/ecii/publications/articles/1C33DF76-D8D3-EFF5-47AE3681FD948D68.pdf",
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abstract="The Daubert process used in the admissibility of evidence contains major guidelines
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applied in assessing forensic procedures, two of which are testing and error rates. The
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Digital Forensic Science (DFS) community is growing and the error rates for the forensic
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tools need to be continuously re-evaluated as the technology changes. This becomes
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more difficult in the case of mobile phone forensics, because they are proprietary. This
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paper discusses a database driven approach that could be used to store data about the
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mobile phone evidence acquisition testing process. This data can then be used to
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calculate tool error rates, which can be published and used to validate or invalidate the
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mobile phone acquisition tools. "
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}
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</bibtex>
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<small>2008-July-12</small>
 
<small>2008-July-12</small>

Revision as of 17:34, 27 July 2008

Archived past selected research articles

2008-July-20 The International Journal of Digital Evidence is one of two publications by the Electronic Crime Institute (ECI) at Utica College. Current and previous issues are available online.

The current Fall 2007 issue has an interesting article Mobile Phone Forensics Tool Testing: A Database Drive Approach by Baggili, Mislan, and Rogers at Purdue University. Given that phones are increasingly a primary source of forensic information in many cases, we need to be sure that the tools that are used for forensic analysis present data that is accurate and repeatable. Unfortunately they frequently aren't because of there are so many different kinds of phones on the market and the forensic tools lag far behind the market.

Ibrahim M. Baggili, Richard Mislan, Marcus Rogers -
International Journal of Digital Evidence 6,2007
http://www.utica.edu/academic/institutes/ecii/publications/articles/1C33DF76-D8D3-EFF5-47AE3681FD948D68.pdf
Bibtex
Author : Ibrahim M. Baggili, Richard Mislan, Marcus Rogers
Title :
In : International Journal of Digital Evidence -
Address :
Date : 2007


2008-July-12

Anandabrata Pal, Taha Sencar, Nasir Memon - Detecting File Fragmentation Point Using Sequential Hypothesis Testing
,2008
http://www.digital-assembly.com/technology/research/pubs/dfrws2008.pdf
Bibtex
Author : Anandabrata Pal, Taha Sencar, Nasir Memon
Title : Detecting File Fragmentation Point Using Sequential Hypothesis Testing
In : -
Address :
Date : 2008

This DFRWS 2008 article presents an improved approach for carving fragmented JPEGs using sequential hypothesis testing. According to the authors, "The technique begins with a header block identifying the start of a file and then attempts to validate via SHT each subsequent block following the header block. The fragmentation point is identified when SHT identifies a block as not belonging to the file. By utilizing this technique, we are able to correctly and efficiently recover JPEG images from the DFRWS 2006 [1] and 2007 [2] test sets even in the presence of tens of thousands of blocks and files fragmented into 3 or more parts. The bifragment gap carving technique enhanced with SHT allows us to improve the performance result of DFRWS 2006 challenge test-sets, although the technique cannot be used for DFRWS 2007. We then show how Parallel Unique Path enhanced with SHT is able to recover all fragmented JPEGs from DFRWS 2006 and all recoverable JPEGs from 2007 challenge test-sets. As far as we are aware, no other automated technique can recover multi-fragmented JPEGs from the DFRWS 2007 test set."



2008-July-5

Yoginder Singh Dandass, Nathan Joseph Necaise, Sherry Reede Thomas - An Empirical Analysis of Disk Sector Hashes for Data Carving
Journal of Digital Forensic Practice 2:95--106,2008
http://www.informaworld.com/10.1080/15567280802050436
Bibtex
Author : Yoginder Singh Dandass, Nathan Joseph Necaise, Sherry Reede Thomas
Title : An Empirical Analysis of Disk Sector Hashes for Data Carving
In : Journal of Digital Forensic Practice -
Address :
Date : 2008

Authors Dandass et. al analyzed 528 million sectors from 433,630 unique files. They computed the CRC32, CRC64, MD5 and SHA-1 of each sector. Not surprisingly, they find that the MD5 and SHA-1s of the sectors are different if the sectors are different. They find 94 CRC64 collisions and 30 million CRC32 collisions. The conclusion is that, if you are search for a single sector or building a database of single sector hashes, you are better off building a database of CRC64s because they are easier to store and dramatically faster to calculate than the traditional hash functions, and they are nearly as accurate.