Author:
Alohaly Manar,Takabi Daniel
Publisher
Springer International Publishing
Reference18 articles.
1. Alohaly, M., Takabi, H., Blanco, E.: A deep learning approach for extracting attributes of ABAC policies. In: Proceedings of the 23rd ACM Symposium on Access Control Models and Technologies (2018)
2. Alohaly, M., Takabi, H., Blanco, E.: Automated extraction of attributes from natural language attribute-based access control (ABAC) policies. Cybersecurity 2(1), 2 (2019)
3. Alohaly, M., Takabi, H., Blanco, E.: Towards an automated extraction of ABAC constraints from natural language policies. In: IFIP International Information Security Conference (2019)
4. Beckerle, M., Martucci, L.A.: Formal definitions for usable access control rule sets from goals to metrics. In: Proceedings of the Ninth Symposium on Usable Privacy and Security, p. 2. ACM (2013)
5. Cavoukian, A., Chibba, M., Williamson, G., Ferguson, A.: The importance of ABAC: attribute-based access control to big data: privacy and context (2015)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Deep Learning-Based Attribute Optimization Method for ABAC;2023 11th International Symposium on Digital Forensics and Security (ISDFS);2023-05-11