Machine Learning of Physical Unclonable Functions using Helper Data
Physical Unclonable Functions (PUFs) are used in various key-generation schemes and protocols. Such schemes are deemed to be secure even for PUFs with challenge-response behavior, as long as no responses and no reliability information about the PUF are exposed. This work, however, reveals a pitfall...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ruhr-Universität Bochum
2021-02-01
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| Series: | Transactions on Cryptographic Hardware and Embedded Systems |
| Subjects: | |
| Online Access: | https://tches.iacr.org/index.php/TCHES/article/view/8786 |