The current state-of-the-art semiconductor industry heavily relies on the globalized fabrication processes and hardware supply-chain model. While this benefits both participants and their global economy, the security of the underlying hardware is compromised due to various emerging hardware security threats such as side-channel attacks, overproduction, hardware trojan insertion, reverse engineering, IP theft, firmware modifications, and counterfeiting. These security threats have become a significant concern due to the rapid increase of IoT devices used in applications such as human health, public transportation, autonomous vehicles, and environmental monitoring. This talk will demonstrate recent efforts in developing novel approaches for securing IoT hardware and firmware supply chain. Furthermore, this talk will discuss future directions to bridge the ongoing research in deep learning and innovative hardware design to increase the security coverage of hardware. Exciting opportunities will be enabled by the development of novel hardware security measures and research of AI, machine learning, and optimization in the context of security.
Presented by Dr.Soheil Salehi from the University of Arizona