Quantitative Metric and Automated Toolset for Obfuscated Logic Security Evaluation
Abstract
This program seeks to develop security criteria based on concepts in machine learning and cryptography and develop novel deobfuscation algorithms. Provably secure obfuscation strategies provide feasible solutions for the Department of Defense to protect critical system components, prevent IP violation, and address most of the supply chain privacy and security concerns.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 29, 2019
- Source ID
- FA86501817822
Entities
People
- Yier Jin
Organizations
- Air Force Research Laboratory
- Defense Advanced Research Projects Agency
- University of Florida