MAD-EN: Microarchitectural Attack Detection Through System-Wide Energy Consumption-Reference-Cited by-同舟云学术

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MAD-EN: Microarchitectural Attack Detection Through System-Wide Energy Consumption

Published:2023 Issue: Volume:18 Page:3006-3017
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Dipta Debopriya Roy¹^ORCID,Gulmezoglu Berk¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/9970396/10114993.pdf?arnumber=10114993

Reference54 articles.

1. FortuneTeller: Predicting microarchitectural attacks via unsupervised deep learning;gulmezoglu;arXiv 1907 03651,2019

2. Performance counters to rescue: A machine learning based safeguard against micro-architectural side-channel-attacks;alam;Cryptology-eprint-archive,2017

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