A Probability-based Strong Physical Unclonable Function with Strong Machine Learning Immunity

A novel strong physical unclonable function (PUF), called Probability-based PUF (Prob-PUF), is proposed using the stochastic process of trap emission in nano-scaled transistors. For first time, information probability used design. This new approach offers ideal immunity to machine learning (ML) attacks. Since Prob-PUF only stores a mathematical model, it naturally avoids dilemma between requirement large number challenge-response pairs (CRPs) and limited storage space, making potential solution for future secure storage.