@inproceedings{3ecb1f7ddf654989b29f92fb3df97421,
title = "A Neural Network Trojan Detection Method Based on Particle Swarm Optimization",
abstract = "Hardware Trojans (HTs) are malicious modifications of the original circuits intended to leak information or cause malfunction. Based on the Side Channel Analysis (SCA) technology, a set of hardware Trojan detection platform is designed for RTL circuits on the basis of HSPICE power consumption simulation. Principal Component Analysis (PCA) algorithm is used to reduce the dimension of power consumption data. An intelligent neural networks (NN) algorithm based on Particle Swarm Optimization (PSO) is introduced to achieve HTs recognition. Experimental results show that the detection accuracy of PSO NN method is much better than traditional BP NN method.",
author = "Wang, \{Chen Xu\} and Zhao, \{Shi Yao\} and Wang, \{Xin Sheng\} and Min Luo and Min Yang",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 14th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2018 ; Conference date: 31-10-2018 Through 03-11-2018",
year = "2018",
month = dec,
day = "5",
doi = "10.1109/ICSICT.2018.8564880",
language = "英语",
series = "2018 14th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Ting-Ao Tang and Fan Ye and Yu-Long Jiang",
booktitle = "2018 14th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2018 - Proceedings",
address = "美国",
}