IP Protection and Supply Chain Security through Logic Obfuscation: A Systematic Overview
Title | IP Protection and Supply Chain Security through Logic Obfuscation: A Systematic Overview |
Publication Type | Journal Article |
Year of Publication | 2019 |
Authors | Shamsi, Kaveh, Li, Meng, Plaks, Kenneth, Fazzari, Saverio, Pan, David Z., Jin, Yier |
Journal | ACM Transactions on Design Automation of Electronic Systems (TODAES) |
Volume | 24 |
Pagination | 65:1-65:36 |
Date Published | September 2019 |
ISSN | 1084-4309 |
Keywords | Collaboration, composability, hardware security, Human Behavior, human factors, IC camouflaging, logic locking, logic obfuscation, Metrics, policy-based governance, pubcrawl, resilience, Resiliency, Scalability, supply chain risk assessment |
Abstract | 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. |
URL | https://dl.acm.org/doi/10.1145/3342099 |
DOI | 10.1145/3342099 |
Citation Key | shamsi_ip_2019 |