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Construction of a high efficient distinguisher in differential power analysis attacks

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成果类型:
期刊论文、会议论文
作者:
Ying Guo;Yu Ou;Lang Li
通讯作者:
Li, L.
作者机构:
[Ying Guo; Yu Ou; Lang Li] College of Computer Science and Technology, Hengyang Normal University
通讯机构:
College of Computer Science and Technology, Hengyang Normal University, HengYang, China
语种:
英文
期刊:
Proceedings of Science
ISSN:
1824-8039
年:
2017
卷:
2017-December
页码:
138-144
会议名称:
ISCC 2017-the 5th International Conference on Information Science and Cloud Computing
会议时间:
2017-12-16
会议地点:
中国广东广州
基金类别:
supported by the National Natural Science Foundation of China under Grant No.:61572174;National Undergraduate Training Program for Innovation and Entrepreneurship with Grant No.:201710546007;Hunan Provincial Experiment Programs of Learning and Innovation for Undergraduates of China with Grant No.:2017526;the Scientific Research Fund of Hunan Provincial Education Department with Grant No.:15A029;the Scientific Research fund of Hengyang Normal University with Grant No.:16CXYZ01;the Science and Technology Plan Project of Hunan Province No.:2016TP1020;Hunan Provincial Natural Science Foundation of China with Grant No.:2017JJ4001
机构署名:
本校为第一且通讯机构
院系归属:
计算机科学与技术学院
摘要:
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 cond...

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