Semantic Approach to Automating Management of Big Data Privacy Policies
| dc.contributor.author | Joshi, Karuna Pande | |
| dc.contributor.author | Gupta, Aditi | |
| dc.contributor.author | Mittal, Sudip | |
| dc.contributor.author | Pearce, Claudia | |
| dc.contributor.author | Joshi, Anupam | |
| dc.contributor.author | Finin, Tim | |
| dc.date.accessioned | 2018-10-23T13:23:49Z | |
| dc.date.available | 2018-10-23T13:23:49Z | |
| dc.date.issued | 2016-12-02 | |
| dc.description | IEEE BigData 2016 | en_US |
| dc.description.abstract | Ensuring privacy of Big Data managed on the cloud is critical to ensure consumer confidence. Cloud providers publish privacy policy documents outlining the steps they take to ensure data and consumer privacy. These documents are available as large text documents that require manual effort and time to track and manage. We have developed a semantically rich ontology to describe the privacy policy documents and built a database of several policy documents as instances of this ontology. We next extracted rules from these policy documents based on deontic logic which can be used to automate management of data privacy. In this paper we describe our ontology in detail along with the results of our analysis of privacy policies of prominent cloud services | en_US |
| dc.description.sponsorship | This research was partially supported by a DoD supplement to the NSF award #1439663: NSF I/UCRC Center for Hybrid Multicore Productivity Research (CHMPR). | en_US |
| dc.description.uri | https://ieeexplore.ieee.org/document/7840639 | en_US |
| dc.format.extent | 10 pages | en_US |
| dc.genre | conferenc paper pre-print | en_US |
| dc.identifier | doi:10.13016/M21J97C0Q | |
| dc.identifier.citation | Karuna Pande Joshi, Aditi Gupta, Sudip Mittal, Claudia Pearce, Anupam Joshi, Tim Finin, Semantic Approach to Automating Management of Big Data Privacy Policies, IEEE BigData 2016, DOI: 10.1109/BigData.2016.7840639 | en_US |
| dc.identifier.uri | 10.1109/BigData.2016.7840639 | |
| dc.identifier.uri | http://hdl.handle.net/11603/11640 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Information Systems Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.relation.ispartof | UMBC Student Collection | |
| dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.subject | data privacy | en_US |
| dc.subject | Personally Identifiable Information | en_US |
| dc.subject | semantic web | en_US |
| dc.subject | cloud computing | en_US |
| dc.subject | policy automation | en_US |
| dc.subject | UMBC Ebiquity Research Group | en_US |
| dc.title | Semantic Approach to Automating Management of Big Data Privacy Policies | en_US |
| dc.type | Text | en_US |