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measuring the effectiveness of dpa attacks- from the perspective of distinguishers statistical characteristics
Huang Jingang; Zhou Yongbin; Liu Jiye
2010
Conference Name2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
SourceProceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Pages161-168
Conference Date44021
Conference PlaceChengdu, China
Publish PlaceUnited States
ISBN9781420000000
Department(1) State Key Laboratory of Information Security, Institute of Software, Chinese Academy of Sciences, P.O. Box 8718, Beijing 100190, China; (2) Graduate University, Chinese Academy of Sciences, 19A Yuquan Lu, Beijing, lO0049, China
English AbstractDistinguisher serves as an essential component in DPA attacks and should to some extent influence behaviors of these attacks. Motivated by this, we proposed a sound approach to evaluating the effectiveness of DPA attacks from the perspective of distinguishers statistical characteristics. For this propose, we formally defined the notion of Gaussian Distinguisher in one typical DP A attack setting and then proved that two most widely used DPA distinguishers (namely difference-of-means test and Pearson correlation coefficient) were Gaussian. After that, Distinctive Level, a useful quantitative metric, was introduced to evaluate the effectiveness of DPA attacks. This metric virtually equips the designer with the capability of judging to what extent DPA attacks will succeed. We performed experiments using both simulated and real power traces afterwards, the results of which evidently demonstrated the validity and the effectiveness of the methods we had proposed. © 2010 IEEE.
KeywordComputer Science Correlation Methods Information Technology Signal Analysis
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/8824
Collection基础软件国家工程研究中心
Recommended Citation
GB/T 7714
Huang Jingang,Zhou Yongbin,Liu Jiye. measuring the effectiveness of dpa attacks- from the perspective of distinguishers statistical characteristics[C]. United States,2010:161-168.
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