A Survey on Recent Developments in SCOAP-based Hardware Trojan Detection Strategies
Nilanjana Das, Friedrich Pauls, Mattis Hasler, Sebastian Haas · 2025
The rise of Hardware Trojans (HTs) presents a major threat to the dependability of contemporary electronic systems. Logic testing-based HT detection can identify HTs without a reference-free or golden circuit. In this work, we present a survey of current logic testing-based HT detection that considers Sandia Controllability/ Observability Analysis Program (SCOAP) factors. In order to detect HTs with unique features, the community may use this survey to summarize how SCOAP parameters have been modified over time and are widely utilized as features for machine learning and threshold-based HT detection. We evaluate the state of work to date and outline the main areas for future research in our conclusion.