A novel PUF against machine learning attack: Implementation on a 16 Mb RRAM chip

Abstract

Physical unclonable function (PUF) is an important hardware security primitive. This paper proposes a novel PUF design based on a double-layer RRAM array architecture and digital RRAM programming achieved by splitting resistance distribution after a continuous distribution was formed. The proposed PUF was implemented on a 16 Mb RRAM test chip and its randomness was verified with NIST test suite. The experimental results demonstrate strong reliability and significantly enhanced resistance against machine-learning attack of this novel PUF design.