Towards an adaptive multi-level RBAC mechanism for countering insider misuse

Shuo Liu*, Xiling Luo, Jun Zhang, Ming Qi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes an extended RBAC model for countering insider misuse, which provides scalability and flexibility. Multi-level security and context-awareness are introduced into the model to fit in with the particular appliance. A mechanism for insider misuse prevention is presented based on the model. To detect and prevent insider misbehavior, the insider's behavior pattern is analyzed and the probability of misuse is estimated, based on the enforced prevention policies. As a proof, finally an experimental verification is carried out based on the approach.

Original languageEnglish
Title of host publicationProceedings - International Conference on Management and Service Science, MASS 2009
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventInternational Conference on Management and Service Science, MASS 2009 - Wuhan, China
Duration: 20 Sept 200922 Sept 2009

Publication series

NameProceedings - International Conference on Management and Service Science, MASS 2009

Conference

ConferenceInternational Conference on Management and Service Science, MASS 2009
Country/TerritoryChina
CityWuhan
Period20/09/0922/09/09

Keywords

  • Access control
  • Adaptive
  • Insider misuse
  • Multi-level security

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