A modeling attack resistant deception technique for securing lightweight-PUF based authentication

• Main Authors: Gu, Chongyan, Chang, Chip Hong, Liu, Weiqiang, Yu, Shichao, Wang, Yale, O’Neill, Máire
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Electrical and electronic engineering; Machine Learning Attacks; Physical Unclonable Function; Authentication Protocol; Deception Protocol; Poison Attack
• Online Access: https://hdl.handle.net/10356/152417
• Institution: Nanyang Technological University

Silicon physical unclonable function (PUF) has emerged as a promising spoof-proof solution for low-cost device authentication. Due to practical constraints in preventing phishing through public network or insecure communication channels, simple PUF-based authentication protocol with unrestricted que...