Article

The EM Side-Channel(s)

Authors:

Dakshi Agrawal,

Bruce Archambeault,

Josyula R. Rao,

Pankaj RohatgiAuthors Info & Claims

CHES '02: Revised Papers from the 4th International Workshop on Cryptographic Hardware and Embedded Systems

Pages 29 - 45

Published: 13 August 2002 Publication History

Abstract

We present results of a systematic investigation of leakage of compromising information via electromagnetic (EM) emanations from CMOS devices. These emanations are shown to consist of a multiplicity of signals, each leaking somewhat different information about the underlying computation. We show that not only can EM emanations be used to attack cryptographic devices where the power side-channel is unavailable, they can even be used to break power analysis countermeasures.

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Cited By

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Brotzman RZhang DKandemir MTan G(2021)SpecSafe: detecting cache side channels in a speculative worldProceedings of the ACM on Programming Languages10.1145/34855065:OOPSLA(1-28)Online publication date: 15-Oct-2021
https://dl.acm.org/doi/10.1145/3485506
Danial JDas DGolder AGhosh SRaychowdhury ASen S(2021)EM-X-DL: Efficient Cross-device Deep Learning Side-channel Attack With Noisy EM SignaturesACM Journal on Emerging Technologies in Computing Systems10.1145/346538018:1(1-17)Online publication date: 29-Sep-2021
https://dl.acm.org/doi/10.1145/3465380
Wang RWang HDubrova EBrisfors MCao JHo Au MConti MTippenhauer N(2021)Advanced Far Field EM Side-Channel Attack on AESProceedings of the 7th ACM on Cyber-Physical System Security Workshop10.1145/3457339.3457982(29-39)Online publication date: 24-May-2021
https://dl.acm.org/doi/10.1145/3457339.3457982
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Published In

CHES '02: Revised Papers from the 4th International Workshop on Cryptographic Hardware and Embedded Systems

August 2002

609 pages

ISBN:3540004092

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 13 August 2002

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Brotzman RZhang DKandemir MTan G(2021)SpecSafe: detecting cache side channels in a speculative worldProceedings of the ACM on Programming Languages10.1145/34855065:OOPSLA(1-28)Online publication date: 15-Oct-2021
https://dl.acm.org/doi/10.1145/3485506
Danial JDas DGolder AGhosh SRaychowdhury ASen S(2021)EM-X-DL: Efficient Cross-device Deep Learning Side-channel Attack With Noisy EM SignaturesACM Journal on Emerging Technologies in Computing Systems10.1145/346538018:1(1-17)Online publication date: 29-Sep-2021
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