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2019 | OriginalPaper | Buchkapitel

Removing Problems in Rule-Based Policies

verfasst von : Zheng Cheng, Jean-Claude Royer, Massimo Tisi

Erschienen in: ICT Systems Security and Privacy Protection

Verlag: Springer International Publishing

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Abstract

Analyzing and fixing problems of complex rule-based policies, like inconsistencies and conflicts, is a well-known topic in security. In this paper, by leveraging previous work on enumerating all the problematic requests for a rule-based system, we define an operation on the policy that removes these problems. While the final fix remains a typically manual activity, removing conflicts allows the user to work on unambiguous policies, produced automatically. We prove the main properties of the problem removal operation on rule-based systems in first-order logic. We propose an optimized process to automatically perform problem removal by reducing time and size of the policy updates. Finally we apply it to an administrative role-based access control (ARBAC) policy and an attribute-based access control (ABAC) policy, to illustrate its use and performance.

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Vorheriges Kapitel Towards an Automated Extraction of ABAC Constraints from Natural Language Policies

Nächstes Kapitel Is This Really You? An Empirical Study on Risk-Based Authentication Applied in the Wild

The original example with comments is available at http://www3.cs.stonybrook.edu/~stoller/ccs2007/.

The Z3 Theorem Prover. https://github.com/Z3Prover/z3.

These results were computed with 10 runs when it was sensible in time, that is all cases except three (amongst 530) for the ContinueA policy.

http://cs.brown.edu/research/plt/software/margrave/versions/01-01/examples/.

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Titel: Removing Problems in Rule-Based Policies
verfasst von: Zheng Cheng
Jean-Claude Royer
Massimo Tisi
Verlag: Springer International Publishing
Buch: ICT Systems Security and Privacy Protection
Print ISBN: 978-3-030-22311-3

Electronic ISBN: 978-3-030-22312-0

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-22312-0_9

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