Incremental Maintenance of ABAC Policies
Author:
Affiliation:
1. Rutgers University, Newark, NJ, USA
2. Indian Institute of Technology Kharagpur, Kharagpur, India
Funder
NSF (National Science Foundation)
National Institutes of Health
Fullbright Program
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3422337.3447825
Reference22 articles.
1. Loredana Caruccio Stefano Cirillo Vincenzo Deufemia and Giuseppe Polese. 2019. Incremental Discovery of Functional Dependencies with a Bit-vector Algorithm.. In SEBD . Loredana Caruccio Stefano Cirillo Vincenzo Deufemia and Giuseppe Polese. 2019. Incremental Discovery of Functional Dependencies with a Bit-vector Algorithm.. In SEBD .
2. On the Feasibility of Attribute-Based Access Control Policy Mining
3. Maintenance of discovered association rules in large databases: an incremental updating technique
4. Incremental mining of frequent patterns without candidate generation or support constraint
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1. Maintain High-Quality Access Control Policies: An Academic and Practice-Driven Approach;Data and Applications Security and Privacy XXXVII;2023
2. Contemporaneous Update and Enforcement of ABAC Policies;Proceedings of the 27th ACM on Symposium on Access Control Models and Technologies;2022-06-07
3. Learning Relationship-Based Access Control Policies from Black-Box Systems;ACM Transactions on Privacy and Security;2022-05-19
4. PAMMELA: Policy Administration Methodology using Machine Learning;Proceedings of the 19th International Conference on Security and Cryptography;2022
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