PAMMELA: Policy Administration Methodology using Machine Learning.
- DOI
- 10.5220/0011272400003283
- Published
- 2022 Jul
- Container
- SECRYPT ... : proceedings of the International Conference on Security and Cryptography. International Conference on Security and Cryptography
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.5220/0011272400003283,
title = {PAMMELA: Policy Administration Methodology using Machine Learning.},
author = {Gumma V and Mitra B and Dey S and Patel PS and Suman S and Das S and Vaidya J},
year = {2022},
journal = {SECRYPT ... : proceedings of the International Conference on Security and Cryptography. International Conference on Security and Cryptography},
doi = {10.5220/0011272400003283},
url = {https://doi.org/10.5220/0011272400003283}
}RIS
TY - JOUR TI - PAMMELA: Policy Administration Methodology using Machine Learning. AU - Gumma V AU - Mitra B AU - Dey S AU - Patel PS AU - Suman S AU - Das S AU - Vaidya J PY - 2022 JO - SECRYPT ... : proceedings of the International Conference on Security and Cryptography. International Conference on Security and Cryptography DO - 10.5220/0011272400003283 UR - https://doi.org/10.5220/0011272400003283 ER -
APA
V, G., B, M., S, D., PS, P., S, S., S, D., & J, V. (2022). PAMMELA: Policy Administration Methodology using Machine Learning.. SECRYPT ... : proceedings of the International Conference on Security and Cryptography. International Conference on Security and Cryptography. https://doi.org/10.5220/0011272400003283
Source records
- pubmed · retrieved 2026-09-25T06:03:53.676Z