Mathematical Model of Strong Physically Unclonable Functions Based on Hybrid Boolean Networks
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2022
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| _version_ | 1866916455218413568 |
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| author | Charlot, Noeloikeau Gauthier, Daniel J. Canaday, Daniel Pomerance, Andrew |
| author_facet | Charlot, Noeloikeau Gauthier, Daniel J. Canaday, Daniel Pomerance, Andrew |
| contents | We introduce a mathematical framework for simulating Hybrid Boolean Network (HBN) Physically Unclonable Functions (PUFs, HBN-PUFs). We verify that the model is able to reproduce the experimentally observed PUF statistics for uniqueness $μ_{inter}$ and reliability $μ_{intra}$ obtained from experiments of HBN-PUFs on Cyclone V FPGAs. Our results suggest that the HBN-PUF is a true `strong' PUF in the sense that its security properties depend exponentially on both the manufacturing variation and the challenge-response space. Our Python simulation methods are open-source and available at https://github.com/Noeloikeau/networkm. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2207_10816 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Mathematical Model of Strong Physically Unclonable Functions Based on Hybrid Boolean Networks Charlot, Noeloikeau Gauthier, Daniel J. Canaday, Daniel Pomerance, Andrew Cryptography and Security We introduce a mathematical framework for simulating Hybrid Boolean Network (HBN) Physically Unclonable Functions (PUFs, HBN-PUFs). We verify that the model is able to reproduce the experimentally observed PUF statistics for uniqueness $μ_{inter}$ and reliability $μ_{intra}$ obtained from experiments of HBN-PUFs on Cyclone V FPGAs. Our results suggest that the HBN-PUF is a true `strong' PUF in the sense that its security properties depend exponentially on both the manufacturing variation and the challenge-response space. Our Python simulation methods are open-source and available at https://github.com/Noeloikeau/networkm. |
| title | Mathematical Model of Strong Physically Unclonable Functions Based on Hybrid Boolean Networks |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2207.10816 |