Acceleration of Differential Power Analysis through the Parallel Use of GPU and CPU

Sung Jae LEE  Seog Chung SEO  Dong-Guk HAN  Seokhie HONG  Sangjin LEE  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E93-A   No.9   pp.1688-1692
Publication Date: 2010/09/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E93.A.1688
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Cryptography and Information Security
differential power analysis (DPA),  graphic processing unit (GPU),  compute unified device architecture (CUDA),  

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This paper proposes methods for accelerating DPA by using the CPU and the GPU in a parallel manner. The overhead of naive DPA evaluation software increases excessively as the number of points in a trace or the number of traces is enlarged due to the rapid increase of file I/O overhead. This paper presents some techniques, with respect to DPA-arithmetic and file handling, which can make the overhead of DPA software become not extreme but gradual as the increase of the amount of trace data to be processed. Through generic experiments, we show that the software, equipped with the proposed methods, using both CPU and GPU can shorten the time for evaluating the DPA resistance of devices by almost half.