Using Hopfield Networks to Correct Instruction Faults

Using Hopfield Networks to Correct Instruction Faults

Köylü, T.C. (TU Delft Computer Engineering)
Fieback, M. (TU Delft Computer Engineering)
Hamdioui, S. (TU Delft Quantum & Computer Engineering)
Taouil, M. (TU Delft Computer Engineering)

Quantum & Computer Engineering

2022

Fault injection attacks pose an important threat to security-sensitive applications, such as secure communication and storage. By injecting faults into instructions, an attacker can cause information leakage or denial-of-service. Hence, it is important to secure the sensitive parts not only by detecting faults in the executed instructions but also by correcting them. In this work, we propose a hardware detection and correction module based on Hopfield networks. Our module is connected to the instruction buffer and validates all fetched instructions. In case faults are detected, faulty instructions are replaced by corrected ones. Experimental results on a small RISC-V processor and two RSA implementations show that we achieve near perfect detection and around 70% accurate correction with 9% area overhead. This correction rate is enough to secure some implementations for all considered attacks.

http://resolver.tudelft.nl/uuid:0fbbb75e-bb23-4af7-b630-5a8e18468938

https://doi.org/10.1109/ATS56056.2022.00030

IEEE

2023-07-01

978-1-6654-7228-9

2022 IEEE 31st Asian Test Symposium (ATS)

2022 IEEE 31st Asian Test Symposium, 2022-11-21 → 2022-11-23, Taichung City, Taiwan

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2022 T.C. Köylü, M. Fieback, S. Hamdioui, M. Taouil