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Evolutionary Inference of Attribute-Based Access Control Policies

  • Eric MedvetEmail author
  • Alberto Bartoli
  • Barbara Carminati
  • Elena Ferrari
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9018)

Abstract

The interest in attribute-based access control policies is increasingly growing due to their ability to accommodate the complex security requirements of modern computer systems. With this novel paradigm, access control policies consist of attribute expressions which implicitly describe the properties of subjects and protection objects and which must be satisfied for a request to be allowed. Since specifying a policy in this framework may be very complex, approaches for policy mining, i.e., for inferring a specification automatically from examples in the form of logs of authorized and denied requests, have been recently proposed.

In this work, we propose a multi-objective evolutionary approach for solving the policy mining task. We designed and implemented a problem representation suitable for evolutionary computation, along with several search-optimizing features which have proven to be highly useful in this context: a strategy for learning a policy by learning single rules, each one focused on a subset of requests; a custom initialization of the population; a scheme for diversity promotion and for early termination. We show that our approach deals successfully with case studies of realistic complexity.

Keywords

Access Control Policy Language Security Policy Access Control Policy Access Control Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Eric Medvet
    • 1
    Email author
  • Alberto Bartoli
    • 1
  • Barbara Carminati
    • 2
  • Elena Ferrari
    • 2
  1. 1.Dip. di Ingegneria e ArchitetturaUniversità degli Studi di TriesteTriesteItaly
  2. 2.Dip. di Scienze Teoriche e ApplicateUniversità degli Studi dell’InsubriaComoItaly

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