Systematic Use of Random Self-Reducibility against Physical Attacks

Ferhat Erata; TingHung Chiu; Anthony Etim; Srilalith Nampally; Tejas Raju; Rajashree Ramu; Ruzica Piskac; Timos Antonopoulos; Wenjie Xiong; Jakub Szefer

arXiv · 2405.05193

Systematic Use of Random Self-Reducibility against Physical Attacks

Ferhat Erata·TingHung Chiu·Anthony Etim·Srilalith Nampally·Tejas Raju·Rajashree Ramu·Ruzica Piskac·Timos Antonopoulos·Wenjie Xiong·Jakub Szefer

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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.

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Ferhat Erata, TingHung Chiu, Anthony Etim, Srilalith Nampally, Tejas Raju, Rajashree Ramu, Ruzica Piskac, Timos Antonopoulos, Wenjie Xiong, Jakub Szefer. 2024-05-08. Systematic Use of Random Self-Reducibility against Physical Attacks. https://arxiv.org/abs/2405.05193

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