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Collection of PUF challenge-response data, currently consisting of: 1. Charlot, N., Canaday, D., Pomerance, A. & Gauthier, D. J. Hybrid Boolean Networks as Physically Unclonable Functions. IEEE Access 9, 44855–44867 (2021). 2. Aghaie, A. & Moradi, A. Inconsistency of Simulation and Practice in Delay-based Strong PUFs. IACR Transactions on Cryptographic Hardware and Embedded Systems 520–551 (2021) doi:10.46586/tches.v2021.i3.520-551. 3. Mursi, K. T., Thapaliya, B., Zhuang, Y., Aseeri, A. O. & Alkatheiri, M. S. A Fast Deep Learning Method for Security Vulnerability Study of XOR PUFs. Electronics 9, 1715 (2020).
Physical Unclonable Function, PUF, pypuf
Physical Unclonable Function, PUF, pypuf
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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