A Deep Learning Approach for Hardware Trojan Detection Based on Ensemble Learning-Reference-Cited by-同舟云学术

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A Deep Learning Approach for Hardware Trojan Detection Based on Ensemble Learning

Published:2023-12-06 Issue: Volume:45 Page:69-76
ISSN:
Container-title:Proceedings of the 2023 13th International Conference on Communication and Network Security
language:
Short-container-title:

Author:

Yao Yinan¹^ORCID,Dong Chen¹^ORCID,Xie Zhengye²^ORCID,Li Yuqing¹^ORCID,Guo Xiaodong¹^ORCID,Yang Yang³^ORCID,Wang Xiaoding⁴^ORCID

Affiliation:

1. College of Computer and Data Science, Fuzhou University, China

2. Maynooth International Engineering College, Fuzhou University, China

3. School of Computing and Information Systems, Singapore Management University, Singapore

4. College of Computer and Cyber Security, Fujian Normal University, China

Funder

Natural Science Foundation of Fujian Province

Fujian Province Digital Economy Alliance

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638782.3638793

Reference15 articles.

1. Self-driving cars: A survey

2. On Reverse Engineering-Based Hardware Trojan Detection

3. Zhenyi Chen, Kwang-Cheng Chen, Chen Dong, and Zixiang Nie. 2021. 6G Mobile Communications for Multi-Robot Smart Factory. Journal of ICT Standardization (2021), 371–404.

4. Malicious Code Detection under 5G HetNets Based on a Multi-Objective RBM Model

5. A Cost-Driven Method for Deep-Learning-Based Hardware Trojan Detection

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