PoS - Proceedings of Science
Volume 300 - Information Science and Cloud Computing (ISCC 2017) - Session IV: Communication Analysis
Construction of a High Efficient Distinguisher in Differential Power Analysis Attacks
Y. Guo*, Y. Ou and L. Li
Full text: pdf
Pre-published on: February 26, 2018
Published on: March 08, 2018
Abstract
In differential power analysis attacks (DPA), the distinguisher directly influences the effects Previous research has mainly focused on analyzing how one or more bits of the intermediate value influence the actual power consumption. However, limited study has been conducted on constructing a more effective distinguisher. In this paper, by comparing the effects of several selected distinguishers we have analyzed the structure of the distinguisher with correlation analysis. Then, we have proposed a high efficient distinguisher, named HDF and conducted experiments through AES. HDF has been employed to operate differential power analysis attacks on AES. The results have verified the validity and high efficiency of this distinguisher, HDF.
DOI: https://doi.org/10.22323/1.300.0049
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