Neural network-based side channel attacks and countermeasures - 文章详情页

作者：

Serpanos, Dimitrios (Serpanos, Dimitrios.) | Yang, Shengqi (Yang, Shengqi.) | Wolf, Marilyn (Wolf, Marilyn.)

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摘要：

This　paper　surveys　results　in　the　use　of　neural　networks　and　deep　learning　in　two　areas　of　hardware　security:　power　attacks　and　physically-unclonable　functions　(PUFs).　©　2020　IEEE.

关键词：

Computer aided design Deep learning Neural networks Side channel attack

作者机构：

[ 1 ] [Serpanos, Dimitrios]University of Patras, Dept. of ECE, Patras, Greece
[ 2 ] [Yang, Shengqi]Beijing University of Technology, School of Software Engineering, Beijing, China
[ 3 ] [Wolf, Marilyn]University of Nebraska - Lincoln, Dept. of CSE, Lincoln; NE, United States

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来源：

ISSN： 0738-100X

年份： 2020

卷： 2020-July

语种：英文

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WoS核心集被引频次： 0

SCOPUS被引频次： 2

ESI高被引论文在榜： 0 展开所有

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近30日浏览量： 4

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信息学部软件学院

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