Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/2391
DC FieldValueLanguage
dc.contributor.authorAmmar, Nariman-
dc.date.accessioned2016-10-13T05:28:07Z-
dc.date.available2016-10-13T05:28:07Z-
dc.date.issued2014-
dc.identifier.urihttp://hdl.handle.net/20.500.11889/2391-
dc.description.abstractTechnology advancements have enabled the distribution and sharing of patient personal health data over several data sources. Each data source is potentially managed by a different organization, which expose its data as a Web service. Using such Web services, dynamic composition of atomic data type properties coupled with the context in which the data is accessed may breach sensitive data that may not comply with the users preference at the time of data collection. Thus, providing uniform access policies to such data can lead to privacy problems. Some fairly recent research has focused on providing solutions for dynamic privacy policy management. This paper advances these techniques, and fills some gaps in the existing works. In particular, dynamically incorporating user access context into the privacy policy decision, and its enforcement. We provide a formal model definition of the proposed approach and a preliminary evaluation of the model.
dc.language.isoenen_US
dc.publisherUniversity of Rhode Island/ Department of biomedical and pharmaceutical sciencesen_US
dc.subject.lcshData protection - Palestine
dc.subject.lcshPrivacy, Right of - Palestine
dc.subject.lcshPublic health - Moral and ethical aspects - Palestine
dc.subject.lcshMedical ethics
dc.titleDynamic Privacy Policy Management in Services-based Interactionsen_US
dc.typePhD Thesesen_US
newfileds.item-access-typeopen_accessen_US
newfileds.general-subjectNeuroscienceen_US
item.fulltextWith Fulltext-
item.languageiso639-1other-
item.grantfulltextopen-
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