Hardware Trojan Detection Using Shapley Ensemble Boosting

Author:

Pan Zhixin1,Mishra Prabhat1

Affiliation:

1. University of Florida

Funder

National Science Foundation

Publisher

ACM

Reference14 articles.

1. [n.d.]. ISCAS'89 Sequential Benchmark Circuits. https://filebox.ece.vt.edu/~mhsiao/iscas89.html. [n.d.]. ISCAS'89 Sequential Benchmark Circuits. https://filebox.ece.vt.edu/~mhsiao/iscas89.html.

2. R. Chakraborty et al. 2009 . MERO: A Statistical Approach for Hardware Trojan Detection. In CHES. 396--410. R. Chakraborty et al. 2009. MERO: A Statistical Approach for Hardware Trojan Detection. In CHES. 396--410.

3. Hasegawa et al. 2017. Trojan-feature extraction at gate-level netlists and its application to hardware-Trojan detection using random forest classifier. In ISCAS. Hasegawa et al. 2017. Trojan-feature extraction at gate-level netlists and its application to hardware-Trojan detection using random forest classifier. In ISCAS.

4. Scalable test generation for Trojan detection using side channel analysis;Yuanwen Huang;IEEE TIFS,2018

5. Roger J Lewis . 2000 . An introduction to classification and regression tree (CART) analysis . In SAEM , Vol. 14 . Roger J Lewis. 2000. An introduction to classification and regression tree (CART) analysis. In SAEM, Vol. 14.

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