Toward Cost-Effective Combined Countermeasures: Multiplicative Masked M&M

With the advancement of hardware security, combined attacks incorporating side-channel analysis (SCA) and fault analysis (FA) have driven the development of combined countermeasures. However, these countermeasures often incur significant overhead. In this paper, we propose a method to reduce the randomness requirement while maintaining security claims. We demonstrate the approach with Masks & Macs (M&M), a scheme that integrates Boolean masking and MAC tag redundancy to provide protection against SCA and differential fault analysis (DFA), addressing its substantial overhead, particularly the high randomness requirement. We introduce a novel multiplicative masking scheme to partially replace Boolean masked modules, achieving a reduction of over 50% in randomness requirement with a minor increase in FPGA resource overhead and latency. Through both theoretical and practical analyses, we prove that our approach maintains the same security claims against SCA, FA, and combined attacks as the original M&M-AES. Additionally, we discuss the feasibility of low-cost countermeasures against statistical ineffective fault attacks (SIFA). This work provides a new perspective on enhancing combined countermeasures by reducing system overhead.

Authors

Institutions

Publication Details

Journal
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
Published
2025-08-18
DOI
https://doi.org/10.1587/transfun.2025cip0024
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Toward Cost-Effective Combined Countermeasures: Multiplicative Masked M&M

Kazuo Sakiyama, K. Li, Daiki Miyahara, Yuko Hara–Azumi et al.
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
Adversarial Robustness in Machine Learning
article

Toward Cost-Effective Combined Countermeasures: Multiplicative Masked M&M

Kazuo Sakiyama, K. Li, Daiki Miyahara, Yuko Hara–Azumi, Haruka Hirata, Yang Li
article en

Abstract

With the advancement of hardware security, combined attacks incorporating side-channel analysis (SCA) and fault analysis (FA) have driven the development of combined countermeasures. However, these countermeasures often incur significant overhead. In this paper, we propose a method to reduce the randomness requirement while maintaining security claims. We demonstrate the approach with Masks & Macs (M&M), a scheme that integrates Boolean masking and MAC tag redundancy to provide protection against SCA and differential fault analysis (DFA), addressing its substantial overhead, particularly the high randomness requirement. We introduce a novel multiplicative masking scheme to partially replace Boolean masked modules, achieving a reduction of over 50% in randomness requirement with a minor increase in FPGA resource overhead and latency. Through both theoretical and practical analyses, we prove that our approach maintains the same security claims against SCA, FA, and combined attacks as the original M&M-AES. Additionally, we discuss the feasibility of low-cost countermeasures against statistical ineffective fault attacks (SIFA). This work provides a new perspective on enhancing combined countermeasures by reducing system overhead.

IEICE Transactions on Fundamentals of Electronics Communications and Computer SciencesVol. E109.A(3)
University of Electro-Communications (JP), Shanghai Institute for Science of Science (CN), Institute of Science Tokyo (JP)
Climate action
Openalex Percentile: Top 89%
Adversarial Robustness in Machine Learning
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.

Toward Cost-Effective Combined Countermeasures: Multiplicative Masked M&M — Kazuo Sakiyama, K. Li, et al. · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences (2025) | TGRS Research Map | TGRS