Hardware Trojan Detection Based on Ordered Mixed Feature GEP
Authors: 
Huan Zhang, Jiliu Zhou, Dongrui Gao, Xinguo Wang, Zhefan Chen, Hongyu Wang Academic Editor: Liguo ZhangAuthors Info & Claims
Huan Zhang, Jiliu Zhou, Dongrui Gao, Xinguo Wang, Zhefan Chen, Hongyu Wang Academic Editor: Liguo ZhangAuthors Info & ClaimsAbstract
In the hardware Trojan detection field, destructive reverse engineering and bypass detection are both important methods. This paper proposed an evolutionary algorithm called Ordered Mixed Feature GEP (OMF-GEP), trying to restore the circuit structure only by using the bypass information. This algorithm was developed from the basic GEP through three sets of experiments at different stages. To solve the problem, this paper transformed the GEP by introducing mixed features, ordered genes, and superchromosomes. And the experiment results show that the algorithm is effective.
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Copyright © 2021 Huan Zhang et al.
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Published: 01 January 2021
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