A hardware Trojan detection method based on sensor chains for post-quantum classic McEliece circuits

Lili Wang; Liji Wu; Zhenhui Zhang; Xiangmin Zhang; Jing Zhou

doi:10.1117/12.3024716

3 April 2024 A hardware Trojan detection method based on sensor chains for post-quantum classic McEliece circuits

Lili Wang, Liji Wu, Zhenhui Zhang, Xiangmin Zhang, Jing Zhou

Author Affiliations +

Proceedings Volume 13078, Second International Conference on Informatics, Networking, and Computing (ICINC 2023); 130780W (2024) https://doi.org/10.1117/12.3024716
Event: Second International Conference on Informatics, Networking, and Computing (ICINC 2023), 2023, Wuhan, China

Abstract

With the rapid development of the digital society, hardware security has become a pressing issue in information security. Although the Post-Quantum Cryptography (PQC) is known for its high security, it is still threatened by hardware Trojan attacks. In this paper, the Classic McEliece algorithm is applied to hardware implementation and a hardware Trojan detection method based on sensor chains for PQC Classic McEliece circuits is proposed. The deployment of the sensor chain consisting of 12 ring oscillators (ROs) on the PQC Classic McEliece circuits is precisely controlled by employing an incremental compilation technique. The validation experiments are performed on an Altera Cyclone-II EP2C35F672C8 FPGA development board, and the results show that the hardware Trojans at RO6 and RO12 are successfully detected using the normalized difference algorithm. The Support vector machine (SVM) algorithm achieves an accuracy of 72%, the logistic regression algorithm achieves an accuracy of 92%, and the K-means algorithm achieves an accuracy of 97%. These results strongly support the effectiveness and accuracy of the proposed hardware Trojan detection method based on sensor chains for the PQC Classic McEliece circuits, and also suggest that the method is applicable to the protection of other cryptographic circuits.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lili Wang, Liji Wu, Zhenhui Zhang, Xiangmin Zhang, and Jing Zhou "A hardware Trojan detection method based on sensor chains for post-quantum classic McEliece circuits", Proc. SPIE 13078, Second International Conference on Informatics, Networking, and Computing (ICINC 2023), 130780W (3 April 2024); https://doi.org/10.1117/12.3024716

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KEYWORDS

Sensors

Detection and tracking algorithms

Quantum hardware

Field programmable gate arrays

Computer hardware

Design

Data modeling

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