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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: email

(This article belongs to this Special Issue: Intelligent Models for Security and Resilience in Cyber Physical Systems)

Computer Modeling in Engineering & Sciences 2021, 127(3), 1151-1175. https://doi.org/10.32604/cmes.2021.015462

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.

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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.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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