Splitting the Interpose PUF: A Novel Modeling Attack Strategy

Nils Wisiol, Christopher Mühl, Niklas Pirnay, Phuong Ha Nguyen, Marian Margraf, Jean-Pierre Seifert, Marten Van Dijk, Ulrich Rührmair
2020 Transactions on Cryptographic Hardware and Embedded Systems  
We demonstrate that the Interpose PUF proposed at CHES 2019, an Arbiter PUF-based design for so-called Strong Physical Unclonable Functions (PUFs), can be modeled by novel machine learning strategies up to very substantial sizes and complexities. Our attacks require in the most difficult cases considerable, but realistic, numbers of CRPs, while consuming only moderate computation times, ranging from few seconds to few days. The attacks build on a new divide-and-conquer approach that allows us
more » ... model the two building blocks of the Interpose PUF separately. For non-reliability based Machine Learning (ML) attacks, this eventually leads to attack times on (kup, kdown)-Interpose PUFs that are comparable to the ones against max{kup, kdown}-XOR Arbiter PUFs, refuting the original claim that Interpose PUFs could provide security similar to (kdown + kup/2)-XOR Arbiter PUFs (CHES 2019). On the technical side, our novel divide-and-conquer technique might also be useful in analyzing other designs, where XOR Arbiter PUF challenge bits are unknown to the attacker.
doi:10.13154/tches.v2020.i3.97-120 dblp:journals/tches/WisiolMPNMSDR20 fatcat:wbw6aenbbbcazddal4dfp47nuu