IP Protection and Supply Chain Security through Logic Obfuscation
Autor: | Yier Jin, David Z. Pan, Kaveh Shamsi, Kenneth Plaks, Saverio Fazzari, Meng Li |
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Rok vydání: | 2019 |
Předmět: |
010302 applied physics
Reverse engineering Hardware security module Computer science Supply chain 02 engineering and technology Computer security computer.software_genre 01 natural sciences Computer Graphics and Computer-Aided Design 020202 computer hardware & architecture Computer Science Applications Obfuscation (software) 0103 physical sciences Threat model 0202 electrical engineering electronic engineering information engineering Supply chain security State (computer science) Electrical and Electronic Engineering computer AND gate |
Zdroj: | ACM Transactions on Design Automation of Electronic Systems. 24:1-36 |
ISSN: | 1557-7309 1084-4309 |
DOI: | 10.1145/3342099 |
Popis: | The globalization of the semiconductor supply chain introduces ever-increasing security and privacy risks. Two major concerns are IP theft through reverse engineering and malicious modification of the design. The latter concern in part relies on successful reverse engineering of the design as well. IC camouflaging and logic locking are two of the techniques under research that can thwart reverse engineering by end-users or foundries. However, developing low overhead locking/camouflaging schemes that can resist the ever-evolving state-of-the-art attacks has been a challenge for several years. This article provides a comprehensive review of the state of the art with respect to locking/camouflaging techniques. We start by defining a systematic threat model for these techniques and discuss how various real-world scenarios relate to each threat model. We then discuss the evolution of generic algorithmic attacks under each threat model eventually leading to the strongest existing attacks. The article then systematizes defences and along the way discusses attacks that are more specific to certain kinds of locking/camouflaging. The article then concludes by discussing open problems and future directions. |
Databáze: | OpenAIRE |
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