Intrusion Detection and Obfuscation Mechanism for PUF-Based Authentication

• Published in: 2022 IEEE 31st Asian Test Symposium (ATS) pp. 90 - 95
• Main Authors: Wang, Sying-Jyan, Li, Katherine Shu-Min, Lin, Chen-Yeh, Chong, Song-Kong
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2022
• Subjects: Authentication; Intrusion detection; Machine learning; modeling attack; Physical unclonable function; Servers

Physical Unclonable Functions (PUF) provide a lightweight secure primitive. However, it is well known that PUFs are vulnerable to machine learning based modeling attacks (MA). A lot of efforts have been devoted to develop MA-resistant PUFs, while MA techniques are also evolving. In this paper, we pr...