Removal of SAT-Hard Instances in Logic Obfuscation Through Inference of Functionality


연구 분야: Analysis



학회: ACM Transactions on Design Automation of Electronic Systems, Volume 29, Issue 4


초록

Logic obfuscation is a prominent approach to protect intellectual property within integrated circuits during fabrication. Many attacks on logic locking have been proposed, particularly in the Boolean satifiability (SAT) attack family, leading to the development of stronger obfuscation techniques. Some obfuscation techniques, including Full-Lock and InterLock, resist SAT attacks by inserting SAT-hard instances into the design, making the SAT attack infeasible. In this work, we observe that this class of obfuscation leaves most of the original design topology visible to an attacker, who can reverse-engineer the original design given the functionality of the SAT-hard instance. We show that an attacker can expose the SAT-hard instance functionality of Full-Lock or InterLock with a polynomial number of queries of its inputs and outputs. We then develop a mathematical framework showing how the functionality can be inferred using only a black-box oracle, as is commonly used in attacks in the literature. Using this framework, we develop a novel attack that allows a SAT-capable attacker to efficiently unlock designs obfuscated with Full-Lock. Our attack recovers the intellectual property from these obfuscation techniques that were previously thought secure. We empirically demonstrate the potency of our novel sensitization attack against benchmark circuits obfuscated with Full-Lock.


Author Profile
Isaac McDaniel

Department of Electrical and Computer Engineering University of Maryland College Park College Park United States

Andorra
Author Profile
Michael Jeffrey Zuzak

Department of Computer Engineering Rochester Institute of Technology Rochester United States

United States
Author Profile
Ankur Srivastava

Department of Electrical and Computer Engineering University of Maryland College Park College Park United States

Andorra

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발행 연도 2024년
인용수 1
출판 국가 Andorra, United States
사이트 ACM
좋아요 수 0

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