way.
Just some of the new features include:
- Support for TRE-based regular expressions for headers and footers
- Support for minimum carve sizes for recovered files
- Parallel architecture to take full advantage of multicore processors
- Beta support for NVIDIA CUDA-based GPU acceleration of header / footer searches
- An asynchronous IO architecture for significantly faster IO throughput
- Support for 32 and 64-bit Linux, Windows XP, Vista and 7, and OSX
In the coming weeks will post some ways to put these new features to
good use, as well as for the introduction of some even newer
functionality.
The new version can be downloaded from:http://www.digitalforensicssolutions.com/Scalpel/
The download file contains pre-compiled Windows binaries as well as the project
source code. If you find any bugs while using Scalpel please send an
email to scalpel at digitalforensicssolutions dot com. If you want to send
comments to the authors, you can contact Golden Richard
(golden@cs.uno.edu / @nolaforensix ) or Lodovico Marziale ( vico@digdeeply.com / http://www.linkedin.com/in/lodovicomarziale ).
source code. If you find any bugs while using Scalpel please send an
email to scalpel at digitalforensicssolutions dot com. If you want to send
comments to the authors, you can contact Golden Richard
(golden@cs.uno.edu / @nolaforensix ) or Lodovico Marziale ( vico@digdeeply.com / http://www.linkedin.com/in/lodovicomarziale ).
If you are interested in the GPU research that went into this project, read the published paper at DFRWS that discusses both the CUDA architecture as well as
the integration of it into Scalpel. It can be found here.
the integration of it into Scalpel. It can be found here.