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Paper Abstract and Keywords
Presentation 2015-12-03 09:45
Hardware Trojan Identification based on Netlist Features using SVM
Kento Hasegawa, Oya Masaru, Masao Yanagisawa, Nozomu Togawa (Waseda Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, third-party IC vendors are very often used due to
globalization and cost-reduction in the IC market but malicious third-party vendors are very likely to insert hardware Trojans into their products. Several hardware Trojan detection techniques are proposed but it is much difficult to analyze huge and complex circuits and deal with evolving hardware Trojans. In this paper, we propose a static hardware Trojan verification method to identify hardware-Trojan infected nets (or Trojan nets) using Support Vector Machine. In the proposed method, we extract the five hardware-Trojan features in each net of a netlist and represent it to be a five-dimensional vector. We learn many five-dimensional vectors using a support vector machine (SVM) and classify a new netlist into Trojan nets and normal nets using learned SVM. Moreover, hardware Trojan nets are weighted in learning to effectively identify Trojan nets. The proposed method is a static verification method, and hence it runs very fast compared to dynamic verification methods where they have to run logic simulation and/or functional simulation. Experimental results demonstrate that our proposed method can efficiently reduce the false negative rate and successfully increase the true positive rate to up to 75%.
Keyword (in Japanese) (See Japanese page) 
(in English) hardware trojan / netlist / machine learning / SVM / static verification / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 338, VLD2015-58, pp. 135-140, Dec. 2015.
Paper # VLD2015-58 
Date of Issue 2015-11-24 (VLD, DC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Conference Date 2015-12-01 - 2015-12-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagasaki Kinro Fukushi Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Design Gaia 2015 -New Field of VLSI Design- 
Paper Information
Registration To VLD 
Conference Code 2015-12-VLD-DC-SLDM-CPSY-RECONF-ICD-CPM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Hardware Trojan Identification based on Netlist Features using SVM 
Sub Title (in English)  
Keyword(1) hardware trojan  
Keyword(2) netlist  
Keyword(3) machine learning  
Keyword(4) SVM  
Keyword(5) static verification  
1st Author's Name Kento Hasegawa  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Oya Masaru  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Masao Yanagisawa  
3rd Author's Affiliation Waseda University (Waseda Univ.)
4th Author's Name Nozomu Togawa  
4th Author's Affiliation Waseda University (Waseda Univ.)
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Date Time 2015-12-03 09:45:00 
Presentation Time 25 
Registration for VLD 
Paper # IEICE-VLD2015-58,IEICE-DC2015-54 
Volume (vol) IEICE-115 
Number (no) no.338(VLD), no.339(DC) 
Page pp.135-140 
#Pages IEICE-6 
Date of Issue IEICE-VLD-2015-11-24,IEICE-DC-2015-11-24 

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