Towards a Privacy-Aware Quantified Self Data Management Framework

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dc.contributor.authorThuraisingham, Bhavani M.
dc.contributor.authorKantarcioglu, Murat
dc.contributor.authorBertino, E.
dc.contributor.authorBakdash, Jonathan Z.
dc.contributor.authorFernandez, M.
dc.contributor.utdAuthorThuraisingham, Bhavani M.
dc.contributor.utdAuthorKantarcioglu, Murat
dc.contributor.utdAuthorBakdash, Jonathan Z.
dc.date.accessioned2019-09-27T20:12:15Z
dc.date.available2019-09-27T20:12:15Z
dc.date.created2018-06-13
dc.descriptionFull text access from Treasures at UT Dallas is restricted to current UTD affiliates (use the provided Link to Article).
dc.description.abstractMassive amounts of data are being collected, stored, and analyzed for various business and marketing purposes. While such data analysis is critical for many applications, it could also violate the privacy of individuals. This paper describes the issues involved in designing a privacy aware data management framework for collecting, storing, and analyzing the data. We also discuss behavioral aspects of data sharing as well as aspects of a formal framework based on rewriting rules that encompasses the privacy aware data management framework. ©2018 Association for Computing Machinery.
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.identifier.bibliographicCitationThuraisingham, B., M. Kantarcioglu, E. Bertino, J. Z. Bakdash, et al. 2018. "Towards a privacy-aware quantified self data management framework." Proceedings of the 23nd ACM on Symposium on Access Control Models and Technologies: 173-184, doi: 10.1145/3205977.3205997
dc.identifier.isbn9781450356664
dc.identifier.urihttps://hdl.handle.net/10735.1/6925
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.isPartOfProceedings of the 23nd ACM on Symposium on Access Control Models and Technologies
dc.relation.urihttp://dx.doi.org/10.1145/3205977.3205997
dc.rights©2018 Association for Computing Machinery
dc.subjectData protection
dc.subjectPrivacy, Right of
dc.subjectData--Access control
dc.titleTowards a Privacy-Aware Quantified Self Data Management Framework
dc.type.genrearticle

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