Automatic Generation of Attribute-Based Access Control Policies from Natural Language Documents
Source abstract
Abstract
In response to the challenges of generating Attribute-Based Access Control (ABAC) policies, this paper proposes a deep learning-based method to automatically generate ABAC policies from natural language documents. This method... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Access Control and Trust · Topic Modeling · Natural Language Processing Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (32)
Show source-provided references
1. Hu · Assessment of Access Control Systems · Sep. 200610.6028/NIST.IR.7316 ↗
2. Attribute-based access control10.1109/MC.2015.33 ↗
3. D. Servos and S. Osborn, “Current research and open problems in attribute-based access control,” ACM Comput. Surv., vol. 49, no. 4, pp. 1–45, 2017.10.1145/3007204 ↗
4. Role-based access control (RBAC): Features and motivations
5. A study on current research and challenges in attribute-based access control model, intelligent data communication technologies and internet of things10.1007/978-981-16-7610-9_2 ↗
6. Samarati · Foundations of Security Analysis and Design · 2000 · 137
7. Configuring role-based access control to enforce mandatory and discretionary access control policies10.1145/354876.354878 ↗
8. V. C. Hu et al., “Guide to attribute based access control (ABAC) definition and considerations (draft),” Special Publication (NIST SP)–800–162, 2013.
9. Mining ABAC rules from sparse logs
10. Using gini impurity to mine attribute-based access control policies with environment attributes
11. Mining positive and negative attribute-based access control policy rules
12. ABAC policy mining method based on hierarchical clustering and relationship extraction10.1016/j.cose.2024.103717 ↗
13. Automated generation and update of structured ABAC Policies
14. Mining least privilege attribute based access control policies
15. Towards ABAC policy mining from logs with deep learning
16. Mining attribute-based access control policies from logs
17. An automatic attribute-based access control policy extraction from access logs10.1109/TDSC.2021.3054331 ↗
18. W. Ammar, S. Wilson, N. Sadeh, and N. A. Smith, “Automatic categorization of privacy policies: A pilot study,” 2012. Accessed: May 11, 2024. [Online]. Available: http://reports-archive.adm.cs.cmu.edu/anon/isr2012/CMU-ISR-12-114.pdf
19. Automated extraction and validation of security policies from natural-language documents
20. Unstructured text ABAC attribute mining technology based on deep learning
21. Automated extraction of ABAC policies from natural-language documents in healthcare systems
22. Access control policy extraction from unconstrained natural language text
23. Towards a top-down policy engineering framework for attribute-based access control
24. Automatic extraction of access control policies from natural language documents
25. A deep learning approach for extracting attributes of ABAC policies
26. Exploring clean label backdoor attacks and defense in language models10.1109/TASLP.2024.3407571 ↗
27. Large language models are better adversaries: Exploring generative clean-label backdoor attacks against text classifiers
28. M. Shao et al., “An empirical evaluation of llms for solving offensive security challenges,” 2024, arXiv:2402.11814.
29. GLM: General language model pretraining with autoregressive blank infilling
30. P-Tuning v2: Prompt tuning can be comparable to fine-tuning universally across scales and tasks
31. BERT: Pre-training of deep bidirectional transformers for language understanding
32. Relation extraction for inferring access control rules from natural language artifacts