Abstract
Hardware Trojans (HTs) have become a major threat to the modern fabless semiconductor industry. This has raised serious concerns over integrated circuits (IC) outsourcing. HT detection and diagnosis is challenging due to the diversity of HTs, large number of gates in modern ICs, intrinsic process variation (PV) in IC design and the high cost of testing. An efficient HT detection and diagnosis scheme based on selective segmentation is proposed in this work. It divides the large circuit into small sub-circuits and applies consistency analysis of gate-level properties. In addition, Transition probability (TP) estimation for each node is employed and performed segmentation on the least probable transition nodes. In order to further enhance the detection, optimized test vectors are chosen during the procedure. Based on the selected segments, HTs are detected correctly by tracing gate level properties.
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Atchuta Sashank, K., Reddy, H.S., Pavithran, P., Akash, M., Nirmala Devi, M. (2017). Hardware Trojan Detection Using Effective Test Patterns and Selective Segmentation. In: Thampi, S., Martínez Pérez, G., Westphall, C., Hu, J., Fan, C., Gómez Mármol, F. (eds) Security in Computing and Communications. SSCC 2017. Communications in Computer and Information Science, vol 746. Springer, Singapore. https://doi.org/10.1007/978-981-10-6898-0_31
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DOI: https://doi.org/10.1007/978-981-10-6898-0_31
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