Hardware Trojan Detection Based on Ordered Mixed Feature GEP Article Swipe
Huan Zhang
,
Jiliu Zhou
,
Dongrui Gao
,
Xinguo Wang
,
Zhefan Chen
,
Hongyu Wang
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1155/2021/6682674
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1155/2021/6682674
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.
Related Topics To Compare & Contrast
Concepts
Trojan
Computer science
Feature (linguistics)
Field (mathematics)
Algorithm
Data mining
Artificial intelligence
Pattern recognition (psychology)
Computer security
Mathematics
Pure mathematics
Linguistics
Philosophy
Metadata
- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.1155/2021/6682674
- https://downloads.hindawi.com/journals/scn/2021/6682674.pdf
- OA Status
- hybrid
- Cited By
- 1
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3137274258
All OpenAlex metadata
Raw OpenAlex JSON
No additional metadata available.