Supervised and unsupervised machine learning for side-channel based Trojan detection

• Main Authors: Jap, Dirmanto, Bhasin, Shivam, He, Wei
• Other Authors: School of Physical and Mathematical Sciences
• Format: Conference or Workshop Item
• Language: English
• Published: 2017
• Subjects: Support vector machines; Training data
• Online Access: https://hdl.handle.net/10356/80760; http://hdl.handle.net/10220/42220
• Institution: Nanyang Technological University

Hardware Trojan (HT) has recently drawn much attention in both industry and academia due to the global outsourcing trend in semiconductor manufacturing, where a malicious logic can be inserted into the security critical ICs at almost any stages. HT severity mainly stems from its low-cost and stealth...