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Titel:

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

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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...     »
Stichworte:
CCS Concepts: • Hardware → Fault tolerance; • Security and privacy → Tamper-proof and tamperresistant designs; Hardware attacks and countermeasures; • Computingmethodologies→Neural networks
Dewey Dezimalklassifikation:
620 Ingenieurwissenschaften
Zeitschriftentitel:
ACM Journal on Emerging Technologies in Computing Systems (JETC)
Jahr:
2020
Band / Volume:
17
Jahr / Monat:
2020-09
Quartal:
3. Quartal
Monat:
Sep
Heft / Issue:
1
Seitenangaben Beitrag:
1--30
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1145/3409594
WWW:
https://dl.acm.org/doi/10.1145/3409594
Verlag / Institution:
ACM New York, NY, USA
Hinweise:
https://dl.acm.org/journal/jetc
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