Project Grant 2350364

Award Date 9/1/24
Completion Date 8/31/28
Dollars Obligated $203K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Lawrence, KS 66045, USA
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The grant funds the development of a new framework for securing hardware intellectual property (IP) against reverse engineering, theft, and piracy threats. The project uses a combination of reinforcement learning techniques to discover novel attack vectors, explainable AI to derive design transformation rules for defense, and a comprehensive IP protection platform to evaluate and apply the security measures. The goal is to create a scalable, knowledge-guided approach to enhance the security and trustworthiness of electronic hardware, benefiting the semiconductor industry and national security. The research team will also develop new cybersecurity courses, engage undergraduate/high school students in the research, and release open-source tools and datasets to the broader community.

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