Machine Learning
Role mining - revealing business roles for security administration using data mining technology
Proceedings of the eighth ACM symposium on Access control models and technologies
Support vector machine learning for interdependent and structured output spaces
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Rule-Based RBAC with Negative Authorization
ACSAC '04 Proceedings of the 20th Annual Computer Security Applications Conference
Feature Subset Selection and Ranking for Data Dimensionality Reduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Fast exact and heuristic methods for role minimization problems
Proceedings of the 13th ACM symposium on Access control models and technologies
Migrating to optimal RBAC with minimal perturbation
Proceedings of the 13th ACM symposium on Access control models and technologies
Mining roles with semantic meanings
Proceedings of the 13th ACM symposium on Access control models and technologies
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
A probabilistic approach to hybrid role mining
Proceedings of the 16th ACM conference on Computer and communications security
Proceedings of the 15th ACM symposium on Access control models and technologies
Proceedings of the 15th ACM symposium on Access control models and technologies
Towards automatic update of access control policy
LISA'10 Proceedings of the 24th international conference on Large installation system administration
Supporting role based provisioning with rules using OWL and F-logic
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems - Volume Part I
Risk-based security decisions under uncertainty
Proceedings of the second ACM conference on Data and Application Security and Privacy
Risk-based adaptive security for smart IoT in eHealth
Proceedings of the 7th International Conference on Body Area Networks
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Role-based provisioning has been adopted as a standard component in leading Identity Management products due to its low administration cost. However, the cost of adjusting existing roles to entitlements from newly deployed applications is usually very high. In this paper, a learning-based approach to automate the provisioning process is proposed and its effectiveness is verified by real provisioning data. Specific learning issues related to provisioning are identified and relevant solutions are presented.