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Title:

Neural Network-based Inherently Fault-tolerant Hardware Cryptographic Primitives without Explicit Redundancy Checks

Document type:
Zeitschriftenaufsatz
Author(s):
Alam, Manaar; Bag, Arnab; Roy, Debapriya Basu; Jap, Dirmanto; Breier, Jakub; Bhasin, Shivam; Mukhopadhyay, Debdeep
Abstract:
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 sam...     »
Keywords:
CCS Concepts: • Hardware → Fault tolerance; • Security and privacy → Tamper-proof and tamperresistant designs; Hardware attacks and countermeasures; • Computingmethodologies→Neural networks
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Journal title:
ACM Journal on Emerging Technologies in Computing Systems (JETC)
Year:
2020
Journal volume:
17
Year / month:
2020-09
Quarter:
3. Quartal
Month:
Sep
Journal issue:
1
Pages contribution:
1--30
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.1145/3409594
WWW:
https://dl.acm.org/doi/10.1145/3409594
Publisher:
ACM New York, NY, USA
Notes:
https://dl.acm.org/journal/jetc
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