Neural network-based inherently fault-tolerant hardware cryptographic primitives without explicit redundancy checks

Neural network-based inherently fault-tolerant hardware cryptographic primitives without explicit redundancy checks

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 formof redundant computation to detect and react/correct the injected faults. However, such countermeasures are...

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Bibliographic Details
Main Authors: Alam, Manaar, Bag, Arnab, Roy, Debapriya Basu, Jap, Dirmanto, Breier, Jakub, Bhasin, Shivam, Mukhopadhyay, Debdeep
Other Authors: Temasek Laboratories @ NTU
Format: Journal Article
Language:English
Published: 2021
Subjects:
Engineering::Computer science and engineering
Machine Learning
Hardware Security
Online Access:https://hdl.handle.net/10356/147421

Internet

https://hdl.handle.net/10356/147421

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