Dates are inconsistent

Dates are inconsistent

3 results sorted by ID

2024/1187 (PDF) Last updated: 2024-07-23
STORM — Small Table Oriented Redundancy-based SCA Mitigation for AES
Yaacov Belenky, Hennadii Chernyshchyk, Oleg Karavaev, Oleh Maksymenko, Valery Teper, Daria Ryzhkova, Itamar Levi, Osnat Keren, Yury Kreimer
Attacks and cryptanalysis

Side-channel-analysis (SCA) resistance with cost optimization in AES hardware implementations remains a significant challenge. While traditional masking-based schemes offer provable security, they often incur substantial resource overheads (latency, area, randomness, performance, power consumption). Alternatively, the RAMBAM scheme introduced a redundancy-based approach to control the signal-to-noise ratio, and achieves exponential leakage reduction as redundancy increases. This method...

2024/967 (PDF) Last updated: 2024-07-08
Consolidated Linear Masking (CLM): Generalized Randomized Isomorphic Representations, Powerful Degrees of Freedom and Low(er)-cost
Itamar Levi, Osnat Keren
Implementation

Masking is a widely adopted countermeasure against side-channel analysis (SCA) that protects cryptographic implementations from information leakage. However, current masking schemes often incur significant overhead in terms of electronic cost. RAMBAM, a recently proposed masking technique that fits elegantly with the AES algorithm, offers ultra-low latency/area by utilizing redundant representations of finite field elements. This paper presents a comprehensive generalization of RAMBAM and...

2023/1550 (PDF) Last updated: 2023-10-09
A Thorough Evaluation of RAMBAM
Daniel Lammers, Amir Moradi, Nicolai Müller, Aein Rezaei Shahmirzadi
Implementation

The application of masking, widely regarded as the most robust and reliable countermeasure against Side-Channel Analysis (SCA) attacks, has been the subject of extensive research across a range of cryptographic algorithms, especially AES. However, the implementation cost associated with applying such a countermeasure can be significant and even in some scenarios infeasible due to considerations such as area and latency overheads, as well as the need for fresh randomness to ensure the...

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