Multi-criteria Hardware Trojan Detection: A Reinforcement Learning Approach. (arXiv:2304.13232v1 [cs.AR])

Hardware Trojans (HTs) are undesired design or manufacturing modifications
that can severely alter the security and functionality of digital integrated
circuits. HTs can be inserted according to various design criteria, e.g., nets
switching activity, observability, controllability, etc. However, to our
knowledge, most HT detection methods are only based on a single criterion,
i.e., nets switching activity. This paper proposes a multi-criteria
reinforcement learning (RL) HT detection tool that features a tunable reward
function for different HT detection scenarios. The tool …

design detection digital etc features function hardware hts knowledge manufacturing observability security single tool trojan trojans