Multi-Channel Leakage Detection Based on χ<sup>2</sup> Test of Independence

Side-channel analysis (SCA) is a critical tool for evaluating the security of cryptographic devices, as physical leakage can reveal sensitive information such as cryptographic keys. Multi-channel fusion attacks (MCFAs) have proven to be efficient in exploiting side-channel leakages. However, a crucial step before performing MCFA is to assess whether the leakages from different channels can be effectively fused. To address this, we propose a black-box approach based on the χ<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> test of independence to assess multi-channel leakage suitability for fusion. By treating the leakages as categorical variables, our method evaluates their association without requiring knowledge of the cryptographic key or device implementation.

Authors

Institutions

Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/trustcom63139.2024.00113
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-Channel Leakage Detection Based on χ2 Test of Independence

Wei Yang, Peijin Cong, Gongxuan Zhang, Xiaoyong Kou
Network Security and Intrusion Detection
article

Multi-Channel Leakage Detection Based on χ2 Test of Independence

Wei Yang, Peijin Cong, Gongxuan Zhang, Xiaoyong Kou
article en

Abstract

Side-channel analysis (SCA) is a critical tool for evaluating the security of cryptographic devices, as physical leakage can reveal sensitive information such as cryptographic keys. Multi-channel fusion attacks (MCFAs) have proven to be efficient in exploiting side-channel leakages. However, a crucial step before performing MCFA is to assess whether the leakages from different channels can be effectively fused. To address this, we propose a black-box approach based on the χ<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> test of independence to assess multi-channel leakage suitability for fusion. By treating the leakages as categorical variables, our method evaluates their association without requiring knowledge of the cryptographic key or device implementation.

Nanjing University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 65%
Network Security and Intrusion Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.