Difference between pages "File Carving Bibliography" and "Category:Network Forensics"

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'''In chronological order, oldest to most recent'''
 
===Basic Techniques===
 
  
[http://handle.dtic.mil/100.2/ADA432468 An analysis of disc carving techniques], Mikus, Nicholas A. " Master's Thesis, Naval Postgraduate School. March 2005.
 
 
[http://www.dfrws.org/2005/proceedings/richard_scalpel.pdf 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===
 
 
<bibtex>
 
@INPROCEEDINGS{Shanmugasundaram02automaticreassembly,
 
    author = {Kulesh Shanmugasundaram},
 
    title = {Automatic Reassembly of Document Fragments via Data Compression},
 
    booktitle = {Presented at the 2nd Digital Forensics Research Workshop},
 
    year = {2002},
 
    pages = {152--159}
 
}
 
</bibtex>
 
 
[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.
 
 
[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.
 
 
[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
 
 
[http://www.dfrws.org/2008/proceedings/p2-pal.pdf Detecting File Fragmentation Point Using Sequential Hypothesis Testing]. Anandabrata Pal, Husrev Sencar, Nasir Memon, DFRWS, 2007. [http://www.dfrws.org/2008/proceedings/p2-pal_pres.pdf [slides]]
 
 
Reassembly of Fragmented JPEG Images Containing Restart Markers, Martin Karresand , Nahid Shahmehri , European Conference on Computer Network Defense EC2ND in cooperation with ENISA ( 2008 : Dublin, Ireland ) , s. 25 - 32 Los Alamitos, CA, USA : IEEE Computer Society, 2008
 
 
Completing the Picture: Fragments and Back Again, Martin Karresand, Linköping : Linköpings universitet, 2008, 111 s.
 
Linköping studies in science and technology. Thesis, ISBN: 978-91-7393-915-7
 
 
[http://www.dfrws.org/2009/proceedings/p88-sencar.pdf Identification and Recovery of JPEG Files with Missing Fragments]. Husrev Sencar and Nasir Memon. DFRWS 2009.
 
 
===Sector Discrimination===
 
 
<bibtex>
 
@article{
 
  journal="Journal of Digital Forensic Practice", 
 
  publisher="Taylor & Francis",
 
  author="Yoginder Singh Dandass and Nathan Joseph Necaise and Sherry Reede Thomas",
 
  title="An Empirical Analysis of Disk Sector Hashes for Data Carving",
 
  year=2008,
 
  volume=2,
 
  issue=2,
 
  pages="95--106",
 
  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.
 
 
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.",
 
  url="http://www.informaworld.com/10.1080/15567280802050436"
 
}
 
</bibtex>
 
 
==Evaluations==
 
[[Media:kloet_2007.pdf|Measuring and Improving the Quality of File Carving Methods]], S.J.J. Kloet , Master's thesis, Eindhoven University of Technology, August 2007
 
 
[[Category:Bibliographies]]
 
[[Category:File Carving]]
 
==See also==
 
[[File Carving]]
 

Revision as of 17:18, 10 March 2013