how to characterize side-channel leakages more accurately?
文献类型:会议论文
作者 | Liu Jiye ; Zhou Yongbin ; Han Yang ; Li Jiantang ; Yang Shuguo ; Feng Dengguo |
出版日期 | 2011 |
会议名称 | 7th International Conference on Information Security Practice and Experience, ISPEC 2011 |
会议日期 | 30-May-20 |
会议地点 | Guangzhou, China |
关键词 | Characterization Security systems |
页码 | 196-207 |
英文摘要 | The effectiveness of side-channel attacks strongly depends on to what extent the underlying leakage model characterizes the physical leakages of cryptographic implementations and on how largely the subsequent distinguisher exploits these leakages. Motivated by this, we propose a compact yet efficient approach to more accurately characterizing side-channel leakages. It is called Bitwise Weighted Characterization (BWC) approach. We use power analysis attacks as illustrative examples and construct two new BWC-based side-channel distinguishers, namely BWC-DPA and BWC-CPA. We present a comparative study of several distinguishers applied to both simulated power traces and real power measurements from an AES microcontroller prototype implementation to demonstrate the validity and the effectiveness of the proposed methods. For example, the number of traces required to perform successful BWC-CPA (resp. BWC-DPA) is only 66% (resp. 49%) of that of CPA (resp. DPA). Our results firmly validate the power and the accuracy of the proposed side-channel leakages characterization approach. © 2011 Springer-Verlag Berlin Heidelberg. |
收录类别 | EI |
会议录 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
会议录出版地 | Germany |
ISSN号 | 3029743 |
ISBN号 | 9783642210303 |
源URL | [http://124.16.136.157/handle/311060/14287] |
专题 | 软件研究所_信息安全国家重点实验室_会议论文 |
推荐引用方式 GB/T 7714 | Liu Jiye,Zhou Yongbin,Han Yang,et al. how to characterize side-channel leakages more accurately?[C]. 见:7th International Conference on Information Security Practice and Experience, ISPEC 2011. Guangzhou, China. 30-May-20. |
入库方式: OAI收割
来源:软件研究所
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