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PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Intra-Group-based Authentication with DRAM-PUFs Using Machine Learning.

, , , , , и . CoRR, (2022)

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Другие публикации лиц с тем же именем

PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Intra-Group-based Authentication with DRAM-PUFs Using Machine Learning., , , , , и . CoRR, (2022)Design Rationale for Symbiotically Secure Key Management Systems in IoT and Beyond., , , , , , и . ICISSP, стр. 583-591. SciTePress, (2023)Attacking Delay-Based PUFs With Minimal Adversarial Knowledge., , , , и . IEEE Trans. Inf. Forensics Secur., (2024)Attacking Delay-based PUFs with Minimal Adversary Model., , , , и . CoRR, (2024)A Generic Obfuscation Framework for Preventing ML-Attacks on Strong-PUFs through Exploitation of DRAM-PUFs., , , , , и . EuroS&P, стр. 92-106. IEEE, (2023)A Modular Open-Source Cryptographic Co-Processor for Internet of Things., , , , , и . DSD, стр. 251-259. IEEE, (2023)A Privacy-Preserving Protocol Level Approach to Prevent Machine Learning Modelling Attacks on PUFs in the Presence of Semi-Honest Verifiers., , , , , , и . HOST, стр. 326-336. IEEE, (2023)A Scalable Protocol Level Approach to Prevent Machine Learning Attacks on Physically Unclonable Function Based Authentication Mechanisms for Internet of Medical Things., , и . IEEE Trans. Ind. Informatics, 18 (3): 1971-1980 (2022)PhenoAuth: A Novel PUF-Phenotype-Based Authentication Protocol for IoT Devices., , , , и . HOST, стр. 309-319. IEEE, (2024)