Title: | measuring the effectiveness of dpa attacks- from the perspective of distinguishers statistical characteristics |
Author: | Huang Jingang
; Zhou Yongbin
; Liu Jiye
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Source: | Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
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Conference Name: | 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
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Conference Date: | 44021
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Issued Date: | 2010
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Conference Place: | Chengdu, China
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Keyword: | Computer science
; Correlation methods
; Information technology
; Signal analysis
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Publish Place: | United States
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ISBN: | 9781420000000
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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
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English Abstract: | Distinguisher 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. |
Content Type: | 会议论文
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URI: | http://ir.iscas.ac.cn/handle/311060/8824
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Appears in Collections: | 基础软件国家工程研究中心_会议论文
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measuring the effectiveness of dpa attacks from the perspective of distinguishers statistical characteristics.pdf(1102KB) | -- | -- | 限制开放 | -- | 联系获取全文 |
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Recommended Citation: |
Huang Jingang,Zhou Yongbin,Liu Jiye. measuring the effectiveness of dpa attacks- from the perspective of distinguishers statistical characteristics[C]. 见:2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010. Chengdu, China. 44021.
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