Deep neural network modeling attacks on arbiter-PUF-based designs
Abstract Physical Unclonable Functions (PUFs) are novel circuit structures that provide hardware security solutions in application areas such as chip design and IoT, due to characteristics of their lightweight, key-free and tamper-resistant. PUFs are not immune to threats like machine learning model...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-02-01
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| Series: | Cybersecurity |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s42400-024-00308-7 |
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