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research article

The Side-channel Metrics Cheat Sheet

Papagiannopoulos, Kostas
•
Glamočanin, Ognjen
•
Azouaoui, Melissa
Show more
February 2, 2023
ACM Computing Surveys

Side-channel attacks exploit a physical observable originating from a cryptographic device in order to extract its secrets. Many practically relevant advances in the field of side-channel analysis relate to security evaluations of cryptographic functions and devices. Accordingly, many metrics have been adopted or defined to express and quantify side-channel security. These metrics can relate to one another, but also conflict in terms of effectiveness, assumptions, and security goals. In this work, we review the most commonly used metrics in the field of side-channel analysis. We provide a self-contained presentation of each metric, along with a discussion of its limitations. We practically demonstrate the metrics on examples of relevant implementations of the Advanced Encryption Standard (AES), and make the software implementation of the presented metrics available to the community as open source. This work, being beyond a survey of the current status of metrics, will allow researchers and practitioners to produce a well-informed security evaluation through a better understanding of its supporting and summarizing metrics.

  • Details
  • Metrics
Type
research article
DOI
10.1145/3565571
Author(s)
Papagiannopoulos, Kostas
Glamočanin, Ognjen
Azouaoui, Melissa
Ros, Dorian
Regazzoni, Francesco
Stojilovic, Mirjana  
Date Issued

2023-02-02

Published in
ACM Computing Surveys
Volume

55

Issue

10

Start page

1

End page

38

Subjects

side-channel attacks

•

side-channel analysis metrics

•

information theoretic metrics

•

cryptography

URL

Supplemental Material

https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3565571&file=3565571-supp.pdf
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
PARSA  
FunderGrant Number

FNS

182428

RelationURL/DOI

IsSupplementedBy

https://doi.org/10.5281/zenodo.5778947
Available on Infoscience
February 7, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/194672
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