8169

An Efficient Acceleration of Digital Fonensics Search Using GPGPU

Chung-han Chen, Fan Wu
Computer Science Department, Tuskegee University, Tuskegee, AL 36088
The 2012 International Conference on Security and Management (SAM’12), 2012

@article{chen2012efficient,

   title={An Efficient Acceleration of Digital Fonensics Search Using GPGPU},

   author={Chen, C. and Wu, F.},

   year={2012}

}

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Graphics Processing Units (GPU) have been the extensive research topic in recent years and have been successfully applied to general purpose applications other than computer graphical area. The nVidia CUDA programming model provides a straightforward means of describing inherently parallel computations. In this paper, we present a study of the efficiency of emerging technology in applying General Purpose Graphics Processing Units (GPGPU) in high performance digital forensics search solutions. We implemented forensics search algorithm using the novel CUDA platform on nVidia Geforce 280 GTX and compared its performance with an optimized CPU implementation on a high-end AMD Opteron Dual Core CPU. Our experimental results show that GPGPU can perform as an efficient digital forensics search accelerator and the developed GPU based implementation achieve a significant performance improvement over CPU based implementation and the maximum observed speedups are about 100 times.
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