Neural network-based side channel attacks and countermeasures - Details

Author：

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

Indexed by：

EI Scopus

Abstract：

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.

Keyword：

Neural networks Side channel attack Deep learning Computer aided design

Author Community：

[ 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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Source ：

ISSN： 0738-100X

Year： 2020

Volume： 2020-July

Language： English

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count： 2

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 4

Affiliated Colleges：

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