Owen Millwood

Orcid: 0000-0002-7250-8271

According to our database1, Owen Millwood authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Attacking Delay-Based PUFs With Minimal Adversarial Knowledge.
IEEE Trans. Inf. Forensics Secur., 2024

Attacking Delay-based PUFs with Minimal Adversary Model.
CoRR, 2024

PhenoAuth: A Novel PUF-Phenotype-Based Authentication Protocol for IoT Devices.
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2024

Optimal Machine-Learning Attacks on Hybrid PUFs.
Proceedings of the Computer Security - ESORICS 2024, 2024

2023
PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Group-Based Authentication With DRAM-PUFs Using Machine Learning.
IEEE Trans. Inf. Forensics Secur., 2023

Design Rationale for Symbiotically Secure Key Management Systems in IoT and Beyond.
Proceedings of the 9th International Conference on Information Systems Security and Privacy, 2023

A Privacy-Preserving Protocol Level Approach to Prevent Machine Learning Modelling Attacks on PUFs in the Presence of Semi-Honest Verifiers.
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2023

A Generic Obfuscation Framework for Preventing ML-Attacks on Strong-PUFs through Exploitation of DRAM-PUFs.
Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

A Modular Open-Source Cryptographic Co-Processor for Internet of Things.
Proceedings of the 26th Euromicro Conference on Digital System Design, 2023

2022
A Scalable Protocol Level Approach to Prevent Machine Learning Attacks on Physically Unclonable Function Based Authentication Mechanisms for Internet of Medical Things.
IEEE Trans. Ind. Informatics, 2022

PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Intra-Group-based Authentication with DRAM-PUFs Using Machine Learning.
CoRR, 2022

2021
A provably secure authentication scheme for RFID-enabled UAV applications.
Comput. Commun., 2021


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