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Detection of conflicts and inconsistencies in taxonomy-based authorization policies

  • Honeywell International Inc
  • Georgia Institute of Technology
  • Emory University

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

26 Scopus citations

Abstract

The values of data elements stored in biomedical databases often draw from biomedical ontologies. Authorization rules can be defined on these ontologies to control access to sensitive and private data elements in such databases. Authorization rules may be specified by different authorities at different times for various purposes. Since such policy rules can conflict with each other, access to sensitive information may inadvertently be allowed. Another problem in biomedical data protection is inference attacks, in which a user who has legitimate access to some data elements is able to infer information related to other data elements. We propose and evaluate two strategies, one for detecting policy inconsistencies to avoid potential inference attacks and the other for detecting policy conflicts.

Original languageEnglish
Title of host publicationProceedings - 2011 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011
Pages590-594
Number of pages5
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011 - Atlanta, GA, United States
Duration: Nov 12 2011Nov 15 2011

Publication series

NameProceedings - 2011 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011

Conference

Conference2011 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011
Country/TerritoryUnited States
CityAtlanta, GA
Period11/12/1111/15/11

Keywords

  • Authorization policy
  • Biomedical ontology
  • Inference attacks
  • Policy conflicts

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