Detection technique for hardware Trojans using machine learning in frequency domain

Recently, the threat of hardware Trojan has been highlighted. A hardware Trojan is a hardware virus. When predetermined conditions are satisfied, that malicious virus performs subversive activities, such as a system shutdown and the leaking of important information, without the circuit users even being aware of that activity. Therefore, it is important to detect the consumer electronic devices with hardware Trojans from a viewpoint of security. This study proposes a new detection technique for hardware Trojan. The proposed method introduces machine learning for the detection. Experiments using actual devices prove the validity of the proposed method.