Poster: Using gini impurity to mine attribute-based access control policies with environment attributes

Saptarshi Das, Shamik Sural, Jaideep Vaidya, Vijayalakshmi Atluri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

In Attribute-based Access Control (ABAC) systems, utilizing environment attributes along with the subject and object attributes introduces a dynamic nature to the access decisions. The inclusion of environment attributes helps in achieving a more fine-grained access control. In this paper, we present an ABAC policy mining algorithm that considers the environment attributes and their associated values while forming the rules. Furthermore, we use gini impurity to form the rules. This helps to minimize the number of rules in the generated policy. The experimental evaluation shows that our approach is quite effective in practice.

Original languageEnglish (US)
Title of host publicationSACMAT 2018 - Proceedings of the 23rd ACM Symposium on Access Control Models and Technologies
PublisherAssociation for Computing Machinery
Pages213-215
Number of pages3
ISBN (Electronic)9781450356664
DOIs
StatePublished - Jun 7 2018
Event23rd ACM Symposium on Access Control Models and Technologies, SACMAT 2018 - Indianapolis, United States
Duration: Jun 13 2018Jun 15 2018

Publication series

NameProceedings of ACM Symposium on Access Control Models and Technologies, SACMAT

Other

Other23rd ACM Symposium on Access Control Models and Technologies, SACMAT 2018
Country/TerritoryUnited States
CityIndianapolis
Period6/13/186/15/18

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality
  • Information Systems

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