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Similarity Measure for Security Policies in Service Provider Selection

Authors: Li, Yanhuang; Cuppens-Boulahia, Nora; Crom, Jean-Michel; Cuppens, Frédéric; Frey, Vincent; Ji, Xiaoshu;

Similarity Measure for Security Policies in Service Provider Selection

Abstract

The interaction between different applications and services requires expressing their security properties. This is typically defined as security policies, which aim at specifying the diverse privileges of different actors. Today similarity measure for comparing security policies becomes a crucial technique in a variety of scenarios, such as finding the cloud service providers which satisfy client's security concerns. Existing approaches cover from semantic to numerical dimensions and the main work focuses mainly on XACML policies. However, few efforts have been made to extend the measure approach to multiple policy models and apply it to concrete scenarios. In this paper, we propose a generic and light-weight method to compare and evaluate security policies belonging to different models. Our technique enables client to quickly locate service providers with potentially similar policies. Comparing with other works, our approach takes policy elements' logic relationships into account and the experiment and implementation demonstrate the e ciency and accuracy of our approach.

Countries
Canada, France
Keywords

Policy evaluation, [INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY], Similarity measure, Access control, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], IT security, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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4
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Average
9
13
Green