Photonic physical unclonable functions for co-integration of security and computing functionalities

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Authors

Fabio Pavanello · Institut de Microélectronique, Electromagnétisme et Photonique

Niklas Pirnay

Agraj Yadav · Institut de Microélectronique, Electromagnétisme et Photonique

Julien Poëtte · Institut de Microélectronique, Electromagnétisme et Photonique

Federico Marchesin · Ghent University

Matéj Hejda · Hewlett Packard Enterprise (Ireland)

Tzamn Melendez · Polytechnic University of Turin

Abstract

We propose a novel approach to build photonic physical unclonable functions (PPUFs) by leveraging Mach-Zehnder interferometer (MZI)-based computing mesh architectures. Statistical properties and robustness to machine-learning attacks show promising results for strong PPUFs.

Topics & Keywords

Physical Unclonable Functions (PUFs) and Hardware Security Neural Networks and Reservoir Computing Optical Network Technologies

Publication Details

Published in: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18062328

Command Palette

Photonic physical unclonable functions for co-integration of security and computing functionalities

Authors

Abstract

Topics & Keywords

Publication Details