Pseudo-Random Generator based on a Photonic Neuromorphic Physical Unclonable Function
<|reference_start|>Pseudo-Random Generator based on a Photonic Neuromorphic Physical Unclonable Function: In this work we provide numerical results concerning a silicon-on-insulator photonic neuromorphic circuit configured as a physical unclonable function. The proposed scheme is enhanced with the capability to be operated as an unconventional deterministic pseudo-random number generator, suitable for cryptographic applications that alleviates the need for key storage in non-volatile digital media. The proposed photonic neuromorphic scheme is able to offer NIST test compatible numbers with an extremely low false positive/negative probability below 10-14. The proposed scheme offers multi-functional capabilities due to the fact that it can be simultaneously used as an integrated photonic accelerator for machine-learning applications and as a hardware root of trust.<|reference_end|>
@article{dermanis2024pseudo-random,
    title={Pseudo-Random Generator based on a Photonic Neuromorphic Physical
  Unclonable Function},
    author={Dimitris Dermanis, Panagiotis Rizomiliotis, Adonis Bogris, Charis
  Mesaritakis},
    journal={arXiv preprint arXiv:2402.14876},
    year={2024},
    doi={10.1109/JQE.2024.3471951},
    archivePrefix={arXiv},
    eprint={2402.14876},
    primaryClass={cs.ET physics.optics}
}