pypuf data
收藏NIAID Data Ecosystem2026-03-12 收录
下载链接：
https://zenodo.org/record/5215874
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资源简介：
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).
创建时间：
2021-09-25
