Difference between pages "Thumbnails" and "File Carving Bibliography"

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'''Thumbnails''' are reduced-size versions of pictures, serving the same role for images as a normal text index does for words.
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'''In chronological order, oldest to most recent'''
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===Basic Techniques===
  
== [[Windows]] ==
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[http://handle.dtic.mil/100.2/ADA432468 An analysis of disc carving techniques], Mikus, Nicholas A. " Master's Thesis, Naval Postgraduate School. March 2005.
  
See [[Thumbs.db]].
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[http://www.dfrws.org/2005/proceedings/richard_scalpel.pdf Scalpel: A Frugal, High Performance File Carver], Golden G. Richard and Vassil Roussev, DFRWS 2005
  
== [[Windows]] Vista ==
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[http://www.dfrws.org/2007/proceedings/p73-marziale.pdf Massive threading: Using GPUs to increase the
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performance of digital forensics tools], Lodovico Marziale, Golden G. Richard III*, Vassil Roussev, DFRWS 2007.
  
[[Thumbs.db]] no longer exists in Vista. This data has been moved to ''\Users\\AppData\Local\Microsoft\Windows\Explorer''
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===Fragment Recovery Carving===
== KDE & GNOME ==
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KDE and GNOME are popular desktop environments for [[Linux]] and [[UNIX]] platforms. They are storing thumbnails in ''~/.thumbnails''.
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<bibtex>
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@INPROCEEDINGS{Shanmugasundaram02automaticreassembly,
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    author = {Kulesh Shanmugasundaram},
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    title = {Automatic Reassembly of Document Fragments via Data Compression},
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    booktitle = {Presented at the 2nd Digital Forensics Research Workshop},
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    year = {2002},
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    pages = {152--159}
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}
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</bibtex>
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[http://isis.poly.edu/kulesh/research/pubs/icassp-2003.pdf Automated Reassembly of Fragmented Images], Anandabrata Pal, Kulesh Shanmugasundaram, Nasir Memon, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003.
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[http://www.simson.net/clips/academic/2007.DFRWS.pdf "Carving Contiguous and Fragmented Files with Fast Object Validation"], Garfinkel, S.,, Digital Forensics Workshop (DFRWS 2007), Pittsburgh, PA, August 2007.
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[http://www.cs.uno.edu/~golden/Stuff/ifip2007-final.pdf In-Place File Carving], Golden G. Richard III, Vassil Roussev, and Lodovico Marziale, IFIP WG 11.9, Advances in Digital Forensics, 2007
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===Sector Discrimination===
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<bibtex>
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@article{
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  journal="Journal of Digital Forensic Practice", 
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  publisher="Taylor & Francis",
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  author="Yoginder Singh Dandass and Nathan Joseph Necaise and Sherry Reede Thomas",
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  title="An Empirical Analysis of Disk Sector Hashes for Data Carving",
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  year=2008,
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  volume=2,
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  issue=2,
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  pages="95--106",
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  abstract="Discovering known illicit material on digital storage devices is an important component of a digital forensic investigation. Using existing data carving techniques and tools, it is typically difficult to recover remaining fragments of deleted illicit files whose file system metadata and file headers have been overwritten by newer files. In such cases, a sector-based scan can be used to locate those sectors whose content matches those of sectors from known illicit files. However, brute-force sector-by-sector comparison is prohibitive in terms of time required. Techniques that compute and compare hash-based signatures of sectors in order to filter out those sectors that do not produce the same signatures as sectors from known illicit files are required for accelerating the process.
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This article reports the results of a case study in which the hashes for over 528 million sectors extracted from over 433,000 files of different types were analyzed. The hashes were computed using SHA1, MD5, CRC64, and CRC32 algorithms and hash collisions of sectors from JPEG and WAV files to other sectors were recorded. The analysis of the results shows that although MD5 and SHA1 produce no false-positive indications, the occurrence of false positives is relatively low for CRC32 and especially CRC64. Furthermore, the CRC-based algorithms produce considerably smaller hashes than SHA1 and MD5, thereby requiring smaller storage capacities. CRC64 provides a good compromise between number of collisions and storage capacity required for practical implementations of sector-scanning forensic tools.",
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  url="http://www.informaworld.com/10.1080/15567280802050436"
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}
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</bibtex>
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[[Category:Bibliographies]]

Revision as of 23:07, 20 October 2008

In chronological order, oldest to most recent

Basic Techniques

An analysis of disc carving techniques, Mikus, Nicholas A. " Master's Thesis, Naval Postgraduate School. March 2005.

Scalpel: A Frugal, High Performance File Carver, Golden G. Richard and Vassil Roussev, DFRWS 2005

[http://www.dfrws.org/2007/proceedings/p73-marziale.pdf Massive threading: Using GPUs to increase the performance of digital forensics tools], Lodovico Marziale, Golden G. Richard III*, Vassil Roussev, DFRWS 2007.

Fragment Recovery Carving

Kulesh Shanmugasundaram - Automatic Reassembly of Document Fragments via Data Compression
Presented at the 2nd Digital Forensics Research Workshop pp. 152--159,2002
Bibtex
Author : Kulesh Shanmugasundaram
Title : Automatic Reassembly of Document Fragments via Data Compression
In : Presented at the 2nd Digital Forensics Research Workshop -
Address :
Date : 2002

Automated Reassembly of Fragmented Images, Anandabrata Pal, Kulesh Shanmugasundaram, Nasir Memon, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003.

"Carving Contiguous and Fragmented Files with Fast Object Validation", Garfinkel, S.,, Digital Forensics Workshop (DFRWS 2007), Pittsburgh, PA, August 2007.

In-Place File Carving, Golden G. Richard III, Vassil Roussev, and Lodovico Marziale, IFIP WG 11.9, Advances in Digital Forensics, 2007

Sector Discrimination

Yoginder Singh Dandass, Nathan Joseph Necaise, Sherry Reede Thomas - An Empirical Analysis of Disk Sector Hashes for Data Carving
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 : -
Address :
Date : 2008