Hardware compromise has substantially increased for past decades considering the globalization of hardware design and manufacturing. With the significant growing of edge devices in IoT and CPS eco-systems, it is vital that we should largely consider the privacy and integrity of computer hardware. This project provides a comprehensive framework which can protect chip security and integrity from hardware malware breach in the untrusted IC supply chain. Deep neural network has been leveraged as the underlying tool for malicious hardware detections.

For more details, please contact Professor Yu Bi at yu_bi@uri.edu