Project Grant 2350365

Award Date 9/1/24
Completion Date 8/31/28
Dollars Obligated $206K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Gainesville, FL 32611, USA
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This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $206,439 to the University of Florida provides funding for the development of a scalable, learning-guided hardware IP protection platform. The key products and services being delivered under this 4-year grant include:

  1. Utilizing reinforcement learning techniques to discover novel attack vectors against logic locking and identify root causes behind successful attacks.
  2. Leveraging explainable AI to extract design transformation rules that can defend against diverse attack vectors.
  3. Applying the discovered design rules to meet both design and security requirements while ensuring correctness.

This project aims to create a comprehensive IP protection platform for rapidly evaluating security against reverse engineering, IP theft, and piracy threats in modern semiconductor designs. The research outcomes will be used to develop new cybersecurity courses, increase student participation in research, and release open-source tools and datasets for the broader research community. This work is expected to enhance the security and trustworthiness of electronic hardware, benefiting the semiconductor industry and national security.

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