Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Role mining - revealing business roles for security administration using data mining technology
Proceedings of the eighth ACM symposium on Access control models and technologies
RoleMiner: mining roles using subset enumeration
Proceedings of the 13th ACM conference on Computer and communications security
Efficient policy analysis for administrative role based access control
Proceedings of the 14th ACM conference on Computer and communications security
Fast exact and heuristic methods for role minimization problems
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
A meta model for access control: why is it needed and is it even possible to achieve?
Proceedings of the 13th ACM symposium on Access control models and technologies
Relational learning via collective matrix factorization
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
A formal framework to elicit roles with business meaning in RBAC systems
Proceedings of the 14th ACM symposium on Access control models and technologies
Evaluating role mining algorithms
Proceedings of the 14th ACM symposium on Access control models and technologies
The next 700 access control models or a unifying meta-model?
Proceedings of the 14th ACM symposium on Access control models and technologies
Multi-assignment clustering for Boolean data
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
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
Towards an integrated approach to role engineering
Proceedings of the 3rd ACM workshop on Assurable and usable security configuration
Mining RBAC roles under cardinality constraint
ICISS'10 Proceedings of the 6th international conference on Information systems security
Algorithms for mining meaningful roles
Proceedings of the 17th ACM symposium on Access Control Models and Technologies
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The analysis of access control data has many applications in information security, including: role mining and policy learning; discovering errors in deployed policies; regulatory compliance; intrusion detection; and risk mitigation. The success of research in these areas hinges on the availability of high quality real-world data. Thus far, little access control data has been released to the public. We analyze eight publicly released access control datasets and contrast them with three client policies in our possession. Our analysis indicates there are many differences in the structure and distribution of permissions between the public and client datasets, including sparseness, permission distributions, and cohesion. The client datasets also revealed a wide range of semantics and granularities of permissions, ranging from application-specific rights to general accounts on systems we could not observe on the public data due to anonymization. Finally, we analyze the distribution of user-attributes, which the public datasets lack. We find techniques that work well on some datasets do not work equally well on others and discuss possible future research and directions based on our experience with real-world data.