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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mohan, A. Blough, D.M. Kurc, T. Post, A. Saltz, J. |
| Copyright Year | 2011 |
| 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. |
| Starting Page | 590 |
| Ending Page | 594 |
| File Size | 230877 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457717994 |
| DOI | 10.1109/BIBM.2011.79 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-11-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Authorization Databases Ontologies Inference algorithms Policy conflicts Biomedical ontology Authorization policy Arrays Detection algorithms Inference attacks |
| Content Type | Text |
| Resource Type | Article |
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