A Hardware-Trojans Identifying Method Based on Trojan Net Scoring at Gate-Level Netlists

Author:

OYA Masaru1,SHI Youhua2,YAMASHITA Noritaka3,OKAMURA Toshihiko3,TSUNOO Yukiyasu3,GOTO Satoshi4,YANAGISAWA Masao1,TOGAWA Nozomu1

Affiliation:

1. Dept. of Computer Science and Communication Engineering, Waseda University

2. Waseda Institute for Advanced Study, Waseda University

3. Cloud System Research Laboratories, NEC Corporation

4. Graduate School of Information, Production and Systems, Waseda University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Evaluation of Ensemble Learning Models for Hardware-Trojan Identification at Gate-level Netlists;2024 IEEE International Conference on Consumer Electronics (ICCE);2024-01-06

2. Hardware-Trojan Detection at Gate-Level Netlists Using a Gradient Boosting Decision Tree Model and Its Extension Using Trojan Probability Propagation;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences;2024-01-01

3. Hardware-Trojan Detection at Gate-level Netlists using Gradient Boosting Decision Tree Models;2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin);2022-09-02

4. SC-COTD: Hardware Trojan Detection Based on Sequential/Combinational Testability Features using Ensemble Classifier;Journal of Electronic Testing;2021-08

5. Towards bidirectional LUT-level detection of hardware Trojans;Computers & Security;2021-05

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