Physical Unclonable Function Systems Based on Pattern Transfer of Fingerprint-Like Patterns

In this letter, we demonstrate a physical unclonable function (PUF) system based on fingerprint-like random planar structures through pattern transfer of self-assembled binary polymer mixtures. With properly designed electrode structures and materials, different types of conductance distributions with large variations are achieved, allowing the PUF to function in differential or on/off modes. The uniqueness of the PUF is verified with inter Hamming distance and entropy at different temperatures. The PUF is shown to be resistant to machine learning attack based on Fourier extrapolation. The proposed fingerprint PUF is compatible with back-end-of-line (BEOL) process and offers potential for hardware security primitive in IoT industry.