An Evolutionary Algorithm for Non-Destructive Reverse Engineering of Integrated Circuits
- Huan Zhang1,2, Jiliu Zhou1,2,*, Xi Wu2
1 College of Computer Science, Sichuan University, Chengdu, 610065, China
2 School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China
* Corresponding Author: Jiliu Zhou. Email:
(This article belongs to this Special Issue: Intelligent Models for Security and Resilience in Cyber Physical Systems)
2 School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China
* Corresponding Author: Jiliu Zhou. Email:
(This article belongs to this Special Issue: Intelligent Models for Security and Resilience in Cyber Physical Systems)
Received 20 December 2020; Accepted 09 February 2021; Issue published 24 May 2021
Abstract
In hardware Trojan detection technology, destructive reverse engineering can restore an original integrated circuit with the highest accuracy. However, this method has a much higher overhead in terms of time, effort, and cost than bypass detection. This study proposes an algorithm, called mixed-feature gene expression programming, which applies non-destructive reverse engineering to the chip with bypass detection data. It aims to recover the original integrated circuit hardware, or else reveal the unknown circuit design in the chip.
Keywords
Hardware Trojans; Trojan detection; mixed-feature; gene expression programming
Cite This Article
Zhang, H., Zhou, J., Wu, X. (2021). An Evolutionary Algorithm for Non-Destructive Reverse Engineering of Integrated Circuits. CMES-Computer Modeling in Engineering & Sciences, 127(3), 1151–1175.
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