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A Survey on Hardware Vulnerability Analysis Using Machine Learning
2022
IEEE Access
Electronic systems rely on efficient hardware, popularly known as system-on-chip (SoC), to support its core functionalities. A typical SoC consists of diverse components gathered from third-party vendors to reduce SoC design cost and meet time-to-market constraints. Unfortunately, the participation of third-party companies in global supply chain introduces potential security vulnerabilities. There is a critical need to efficiently detect and mitigate hardware vulnerabilities. Machine learning
doi:10.1109/access.2022.3173287
fatcat:yri7ggwdnjffzmpgojiuvr54ta