Enhancing RSA Security with Randomized Montgomery Exponentiation: A Practical Leakage Resilience Analysis

This research investigates the vulnerability of RSA implementations to side-channel attacks and proposes effective countermeasures to enhance their security. This research focuses on the implementation randomized Montgomery Modular Exponentiation (RME) to suppress side channel attacks, which introduce a high degree of randomization into cryptographic processes. This randomization obscures power consumption patterns and timing information, making it significantly more challenging for attackers to extract sensitive information. Experimental results demonstrate the effectiveness of these countermeasures, showing a marked reduction in susceptibility to side-channel attacks compared to existing implementations. The proposed algorithms exhibit strong resistance to information leakage, highlighting the importance of incorporating randomization and other security measures into cryptographic designs. The findings of this research have significant implications for the design and implementation of secure cryptographic systems.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/vlsisata65374.2025.11070140
Citations
1
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
2.48
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article

Enhancing RSA Security with Randomized Montgomery Exponentiation: A Practical Leakage Resilience Analysis

Vivian Desalphine, Venkata Reddy Kolagatla
1 citations
Cryptographic Implementations and Security
2.48
article

Enhancing RSA Security with Randomized Montgomery Exponentiation: A Practical Leakage Resilience Analysis

Vivian Desalphine, Venkata Reddy Kolagatla
article en
1 citations

Abstract

This research investigates the vulnerability of RSA implementations to side-channel attacks and proposes effective countermeasures to enhance their security. This research focuses on the implementation randomized Montgomery Modular Exponentiation (RME) to suppress side channel attacks, which introduce a high degree of randomization into cryptographic processes. This randomization obscures power consumption patterns and timing information, making it significantly more challenging for attackers to extract sensitive information. Experimental results demonstrate the effectiveness of these countermeasures, showing a marked reduction in susceptibility to side-channel attacks compared to existing implementations. The proposed algorithms exhibit strong resistance to information leakage, highlighting the importance of incorporating randomization and other security measures into cryptographic designs. The findings of this research have significant implications for the design and implementation of secure cryptographic systems.

Centre for Development of Advanced Computing (IN)
Climate action
Openalex Percentile: Top 10%
Cryptographic Implementations and Security
2.48
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