Kento HASEGAWA

A Capacitance Measurement Device for Running Hardware Devices and Its Evaluations
Makoto NISHIZAWA Kento HASEGAWA Nozomu TOGAWA 
Publication:   
Publication Date: 2020/09/01
Vol. E103-A  No. 9  pp. 1018-1027
Type of Manuscript:  Special Section PAPER (Special Section on Circuits and Systems)
Category: 
Keyword: 
hardware security, capacitance measurement, anomalous function detection, low power, 
 Summary | Full Text:PDF
Trojan-Net Classification for Gate-Level Hardware Design Utilizing Boundary Net Structures
Kento HASEGAWA Masao YANAGISAWA Nozomu TOGAWA 
Publication:   
Publication Date: 2020/07/01
Vol. E103-D  No. 7  pp. 1618-1622
Type of Manuscript:  Special Section LETTER (Special Section on Information and Communication System Security)
Category: Network and System Security
Keyword: 
hardware Trojan, gate-level netlist, Trojan feature, boundary nets, hardware design, 
 Summary | Full Text:PDF
Empirical Evaluation and Optimization of Hardware-Trojan Classification for Gate-Level Netlists Based on Multi-Layer Neural Networks
Kento HASEGAWA Masao YANAGISAWA Nozomu TOGAWA 
Publication:   
Publication Date: 2018/12/01
Vol. E101-A  No. 12  pp. 2320-2326
Type of Manuscript:  Special Section LETTER (Special Section on VLSI Design and CAD Algorithms)
Category: 
Keyword: 
hardware Trojan, detection, gate-level netlist, multi-layer neural networks, machine learning, 
 Summary | Full Text:PDF
Trojan-Net Feature Extraction and Its Application to Hardware-Trojan Detection for Gate-Level Netlists Using Random Forest
Kento HASEGAWA Masao YANAGISAWA Nozomu TOGAWA 
Publication:   
Publication Date: 2017/12/01
Vol. E100-A  No. 12  pp. 2857-2868
Type of Manuscript:  Special Section PAPER (Special Section on VLSI Design and CAD Algorithms)
Category: 
Keyword: 
hardware Trojan, gate-level netlist, Trojan-net feature, random forest, machine learning, 
 Summary | Full Text:PDF
A Hardware-Trojan Classification Method Using Machine Learning at Gate-Level Netlists Based on Trojan Features
Kento HASEGAWA Masao YANAGISAWA Nozomu TOGAWA 
Publication:   
Publication Date: 2017/07/01
Vol. E100-A  No. 7  pp. 1427-1438
Type of Manuscript:  Special Section PAPER (Special Section on Design Methodologies for System on a Chip)
Category: 
Keyword: 
hardware Trojan, gate-level netlist, machine learning, support vector machine (SVM), neural network (NN), 
 Summary | Full Text:PDF