Difference between pages "Napatech" and "File Carving:SmartCarving"

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(Updated company information (Napatech is not UK based))
 
(Created page with ''''SmartCarving''' is a File Carving technique to recover fragmented files first proposed by A. Pal and N. Memon in DFRWS 2008. SmartCarving utilizes a combination of structu…')
 
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Napatech is a leading OEM supplier of multi-port 10 GbE and 1 GbE intelligent adapters for real-time network analysis with over 40,000 Ethernet ports deployed. Napatech network adapters provide real-time packet capture and transmission with full line-rate throughput and zero packet loss no matter the packet size. Intelligent features enable off-load of data traffic processing and packet analysis normally performed in the CPU. This results in more processing power for the network monitoring, analysis, management, test, measurement, security or optimization application being supported. Napatech has sales, marketing and R&D offices in Mountain View, California, Andover, Massachusetts, and Copenhagen, Denmark.
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'''SmartCarving''' is a [[File Carving]] technique to recover fragmented files first proposed by A. Pal and N. Memon in DFRWS 2008. SmartCarving utilizes a combination of structure based validation along with validation of each file's unique content. Results for the SmartCarving technique
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were demonstrated on fragmented jpegs in the DFRWS 2006 and DFRWS 2007 challenges. From these two challenges SmartCarving was able
Napatech network adapters can be synchronized with a variety of time sources, such as Global Positioning System (GPS), IEEE 1588v2, CDMA and Pulse Per Second (PPS) sources. This allows packets to be time-stamped with an accuracy of 50 nanoseconds. The time synchronization solution also allows Napatech adapters to be daisy-chained allowing a single time synchronization source for multiple adapters.
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to recover all but one fragmented jpeg file.
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Napatech intelligent adapters can be used for performance monitoring, test & measurement, security and optimization markets. The boards provide interception from 1 Gbps to 10 Gbps. Software is available for Linux, FreeBSD and Windows.
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==See Also==
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* www.napatech.com
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[[Category:Vendors]]
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==History==
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Memon et al.[1] presented an efficient algorithm based on a greedy heuristic and alpha-beta pruning for reassembling fragmented images.
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Building on this work, Memon et al.[2] researched and introduced sequential hypothesis testing as a an effective mechanism for detecting fragmentation points of file. This paper won the best paper award for DFRWS 2008. The techniques presented in the paper were the foundation for the overall SmartCarving design.
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==Details==
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After identifying a header block of a specific file type, for example, jpeg, a SmartCarver will analyze each subsequent block to determine if it
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belongs or does not belong to the starting block. If a block is determined not to belong, then the file is assumed to be fragmented and the
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SmartCarving algorithm looks for the next fragment by matching the data of other available blocks with the first fragment. This process can be
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done in parallel for many files.
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==Applications==
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There are currently two applications available that utilize SmartCarving, both produced by Digital Assembly:
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* Adroit Photo Recovery
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* Adroit Photo Forensics.
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== References ==
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* A. Pal and N. Memon, [http://digital-assembly.com/technology/research/pubs/ieee-trans-2006.pdf "Automated reassembly of file fragmented images using greedy algorithms"] in IEEE Transactions on Image processing, February 2006, pp 385­393
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* A. Pal, T. Sencar and N. Memon, [http://digital-assembly.com/technology/research/pubs/dfrws2008.pdf "Detecting File Fragmentation Point Using Sequential Hypothesis Testing"], Digital Investigations, Fall 2008
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==External links==
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* [http://digital-assembly.com/products/adroit-photo-recovery/ Adroit Photo Recovery]
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* [http://digital-assembly.com/products/adroit-photo-forensics/ Adroit Photo Forensics]
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* [http://digital-assembly.com/technology/ Link to SmartCarving Technology and Research]
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* [http://digital-assembly.com Digital Assembly]

Revision as of 12:02, 26 October 2009

SmartCarving is a File Carving technique to recover fragmented files first proposed by A. Pal and N. Memon in DFRWS 2008. SmartCarving utilizes a combination of structure based validation along with validation of each file's unique content. Results for the SmartCarving technique were demonstrated on fragmented jpegs in the DFRWS 2006 and DFRWS 2007 challenges. From these two challenges SmartCarving was able to recover all but one fragmented jpeg file.

Contents

History

Memon et al.[1] presented an efficient algorithm based on a greedy heuristic and alpha-beta pruning for reassembling fragmented images. Building on this work, Memon et al.[2] researched and introduced sequential hypothesis testing as a an effective mechanism for detecting fragmentation points of file. This paper won the best paper award for DFRWS 2008. The techniques presented in the paper were the foundation for the overall SmartCarving design.

Details

After identifying a header block of a specific file type, for example, jpeg, a SmartCarver will analyze each subsequent block to determine if it belongs or does not belong to the starting block. If a block is determined not to belong, then the file is assumed to be fragmented and the SmartCarving algorithm looks for the next fragment by matching the data of other available blocks with the first fragment. This process can be done in parallel for many files.

Applications

There are currently two applications available that utilize SmartCarving, both produced by Digital Assembly:

  • Adroit Photo Recovery
  • Adroit Photo Forensics.

References

External links