Katholieke Universiteit Leuven
Physically Unclonable Functions (PUFs) are emerging as hardware security primitives. So-called strong PUFs provide a mechanism to authenticate chips which is inherently unique for every manufactured sample. To prevent cloning, modeling of the Challenge-Response Pair (CRP) behavior should be infeasible. Machine Learning (ML) algorithms are a well-known threat. Recently, repeatability imperfections of PUF responses have been identified as another threat. CMOS device noise renders a significant fraction of the CRPs unstable, hereby providing a side channel for modeling attacks.