Systematic Use of Random Self-Reducibility in Cryptographic Code against Physical Attacks

This work presents a novel, black-box software-based countermeasure against physical attacks including power side-channel and fault-injection attacks. The approach uses the concept of random self-reducibility and self-correctness to add randomness and redundancy in the execution for protection. Our approach is at the operation level, is not algorithm-specific, and thus, can be applied for protecting a wide range of algorithms. The countermeasure is empirically evaluated against attacks over operations like modular exponentiation, modular multiplication, polynomial multiplication, and number theoretic transforms. An end-to-end implementation of this countermeasure is demonstrated for RSA-CRT signature algorithm and Kyber Key Generation public key cryptosystems. The countermeasure reduced the power side-channel leakage by two orders of magnitude, to an acceptably secure level in TVLA analysis. For fault injection, the countermeasure reduces the number of faults to 95.4% in average.

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Published
2024-10-27
DOI
https://doi.org/10.1145/3676536.3689920
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
0.00

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article

Systematic Use of Random Self-Reducibility in Cryptographic Code against Physical Attacks

Wenjie Xiong, Ferhat Erata, Jakub Szefer, Timos Antonopoulos et al.
Cryptographic Implementations and Security
article

Systematic Use of Random Self-Reducibility in Cryptographic Code against Physical Attacks

Wenjie Xiong, Ferhat Erata, Jakub Szefer, Timos Antonopoulos, Ružica Piskač, Tejas Raju, Anthony Etim, Tinghung Chiu, Srilalith Nampally, Rajashree Ramu
article en

Abstract

This work presents a novel, black-box software-based countermeasure against physical attacks including power side-channel and fault-injection attacks. The approach uses the concept of random self-reducibility and self-correctness to add randomness and redundancy in the execution for protection. Our approach is at the operation level, is not algorithm-specific, and thus, can be applied for protecting a wide range of algorithms. The countermeasure is empirically evaluated against attacks over operations like modular exponentiation, modular multiplication, polynomial multiplication, and number theoretic transforms. An end-to-end implementation of this countermeasure is demonstrated for RSA-CRT signature algorithm and Kyber Key Generation public key cryptosystems. The countermeasure reduced the power side-channel leakage by two orders of magnitude, to an acceptably secure level in TVLA analysis. For fault injection, the countermeasure reduces the number of faults to 95.4% in average.

Yale University (US), Virginia Tech (US)
National Science Foundation, Yale University, Commonwealth of Virginia
Openalex Percentile: Top 73%
Cryptographic Implementations and Security
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