TY - GEN
T1 - A New Hardware Trojan Detection System Based on CRON
AU - Meng, Jia
AU - Ren, Qiang
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - With the globalization of the IC design flow, ICs are exposed to malicious inclusion referred to as Hardware Trojans (HT) which are known great threat for many application such as military systems, financial infrastructures. Hardware Trojan detection has emerged as an important research domain. In this paper, we propose an integrated new system to detect HT, which is composed of an innovative detection circuit named concurrent ring oscillator network (CRON) based on ring oscillator network (RON), data analysis program, target circuit, and other auxiliary circuits. We implement the system on FPGA and the scenario is simulated when the circuit is attacked by active HT. We find the suitable data analysis approach with machine learning method and the results demonstrate that our system can detect Trojan which is activated from sleep state and give the target circuit enough safety guarantee with 98% detection rate.
AB - With the globalization of the IC design flow, ICs are exposed to malicious inclusion referred to as Hardware Trojans (HT) which are known great threat for many application such as military systems, financial infrastructures. Hardware Trojan detection has emerged as an important research domain. In this paper, we propose an integrated new system to detect HT, which is composed of an innovative detection circuit named concurrent ring oscillator network (CRON) based on ring oscillator network (RON), data analysis program, target circuit, and other auxiliary circuits. We implement the system on FPGA and the scenario is simulated when the circuit is attacked by active HT. We find the suitable data analysis approach with machine learning method and the results demonstrate that our system can detect Trojan which is activated from sleep state and give the target circuit enough safety guarantee with 98% detection rate.
KW - hardware trojan detection
KW - machine learning
KW - ring oscillator network
UR - https://www.scopus.com/pages/publications/85084741139
U2 - 10.1109/ICICM48536.2019.8977192
DO - 10.1109/ICICM48536.2019.8977192
M3 - 会议稿件
AN - SCOPUS:85084741139
T3 - 2019 4th International Conference on Integrated Circuits and Microsystems, ICICM 2019
SP - 246
EP - 251
BT - 2019 4th International Conference on Integrated Circuits and Microsystems, ICICM 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Integrated Circuits and Microsystems, ICICM 2019
Y2 - 25 October 2019 through 27 October 2019
ER -