Neural network-based inherently fault-tolerant hardware cryptographic primitives without explicit redundancy checks
| Autor: | Arnab Bag, Manaar Alam, Debdeep Mukhopadhyay, Dirmanto Jap, Jakub Breier, Debapriya Basu Roy, Shivam Bhasin |
|---|---|
| Přispěvatelé: | Temasek Laboratories @ NTU |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
021110 strategic
defence & security studies S-box Cryptographic primitive Artificial neural network business.industry Computer science 0211 other engineering and technologies Fault tolerance 02 engineering and technology Fault injection 020202 computer hardware & architecture law.invention Machine Learning Software Computer engineering Hardware and Architecture law 0202 electrical engineering electronic engineering information engineering Redundancy (engineering) Computer science and engineering [Engineering] Hardware Security Electrical and Electronic Engineering business Cryptanalysis |
| Popis: | Fault injection-based cryptanalysis is one of the most powerful practical threats to modern cryptographic primitives. Popular countermeasures to such fault-based attacks generally use some form of redundant computation to detect and react/correct the injected faults. However, such countermeasures are shown to be vulnerable to selective fault injections. In this article, we aim to develop a cryptographic primitive that is fault tolerant by its construction and does not require to compute the same value multiple times. We utilize the effectiveness of Neural Networks (NNs), which show “some degree” of robustness by functioning correctly even after the occurrence of faults in any of its parameters. We also propose a novel strategy that enhances the fault tolerance of the implementation to “high degree” (close to 100%) by incorporating selective constraints in the NN parameters during the training phase. We evaluated the performance of revised NN considering both software and FPGA implementations for standard cryptographic primitives like 8×8 AES SBox and 4×4 PRESENT SBox. The results show that the fault tolerance of such implementations can be significantly increased with the proposed methodology. Such NN-based cryptographic primitives will provide inherent resistance against fault injections without requiring any redundancy countermeasures. |
| Databáze: | OpenAIRE |
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