Pseudo-Random Generator based on a Photonic Neuromorphic Physical Unclonable Function
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
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2024
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| author | Dermanis, Dimitris Rizomiliotis, Panagiotis Bogris, Adonis Mesaritakis, Charis |
| author_facet | Dermanis, Dimitris Rizomiliotis, Panagiotis Bogris, Adonis Mesaritakis, Charis |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_14876 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Pseudo-Random Generator based on a Photonic Neuromorphic Physical Unclonable Function Dermanis, Dimitris Rizomiliotis, Panagiotis Bogris, Adonis Mesaritakis, Charis Emerging Technologies Optics 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. |
| title | Pseudo-Random Generator based on a Photonic Neuromorphic Physical Unclonable Function |
| topic | Emerging Technologies Optics |
| url | https://arxiv.org/abs/2402.14876 |