FLAP - A Federated Learning Framework for Attribute-based Access Control Policies
Author:
Affiliation:
1. German Jordanian University, Amman, Jordan
2. Purdue University, West Lafayette, IN, USA
3. ICREA - Universitat Pompeo Fabra, Barcelona, Spain
4. IBM TJ Watson Research Center, Yorktown Heights, USA
5. Imperial College, London, United Kingdom
Funder
The Spanish Ministry of Economy and Competitiveness
The U.S. Army Research Office
The U.S. Army Research Laboratory and the U.K. Ministry of Defence
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3577923.3583641
Reference44 articles.
1. Polisma - A Framework for Learning Attribute-Based Access Control Policies
2. Clustering-based Approach for Anomaly Detection in XACML Policies
3. ABAC Rule Reduction via Similarity Computation
4. Manar Alohaly and Daniel Takabi . 2020 . A Hybrid Policy Engineering Approach for Attribute-Based Access Control (ABAC) . In International Conference on Soft Computing and Pattern Recognition. Springer, 847--857 . Manar Alohaly and Daniel Takabi. 2020. A Hybrid Policy Engineering Approach for Attribute-Based Access Control (ABAC). In International Conference on Soft Computing and Pattern Recognition. Springer, 847--857.
5. Gunjan Batra , Vijayalakshmi Atluri , Jaideep Vaidya , and Shamik Sural . 2019 . Policy Reconciliation and Migration in Attribute Based Access Control. In International Conference on Information Systems Security. Springer, 99--120 . Gunjan Batra, Vijayalakshmi Atluri, Jaideep Vaidya, and Shamik Sural. 2019. Policy Reconciliation and Migration in Attribute Based Access Control. In International Conference on Information Systems Security. Springer, 99--120.
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