"PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Group-Based ..."

Owen Millwood et al. (2023)

> Home

Details and statistics

DOI: 10.1109/TIFS.2023.3266624

access: closed

type: Journal Article

metadata version: 2023-06-26

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tifs/MillwoodMYGKL23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tifs/MillwoodMYGKL23
Owen Millwood, Jack Miskelly, Bohao Yang, Prosanta Gope, Elif Bilge Kavun, Chenghua Lin:
PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Group-Based Authentication With DRAM-PUFs Using Machine Learning. IEEE Trans. Inf. Forensics Secur. 18: 2451-2465 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.