Open Access

ARTICLE

An Evolutionary Algorithm for Non-Destructive Reverse Engineering of Integrated Circuits

Huan Zhang^1,2, Jiliu Zhou^1,2,*, 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)

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

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.

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Keywords

Hardware Trojans; Trojan detection; mixed-feature; gene expression programming

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