A Framework for Situation-Aware Access Control in Federated Data-as-a-Service Systems Based on Query Rewriting

Simple item page
dc.contributor.authorOni, Samson
dc.contributor.authorChen, Zhiyuan
dc.contributor.authorCrainiceanu, Adina
dc.contributor.authorJoshi, Karuna Pande
dc.contributor.authorNeedham, Don
dc.date.accessioned2020-09-25T16:40:44Z
dc.date.available2020-09-25T16:40:44Z
dc.date.issued2020-10-19
dc.descriptionIEEE International Conference on Services Computing (IEEE SCC), 2020
dc.description.abstractOrganizations often need to share mission dependent data in a secure and flexible way. Examples include contact tracing for a contagious disease such as COVID-19, maritime search and rescue operations, or creating a collaborative bid for a contract. In such examples, the ability to access data may need to change dynamically, depending on the situation of a mission (e.g., whether a person tested positive for a disease, a ship is in distress, or a bid offer with given properties needs to be created). We present a novel framework to enable situation-aware access control in a federated Data-as a- Service architecture by using semantic web technologies. Our framework allows distributed query rewriting and semantic reasoning that automatically adds situation based constraints to ensure that users can only see results that they are allowed to access. We have validated our framework by applying it to two dynamic use cases: maritime search and rescue operations and contact tracing for surveillance of a contagious disease. This paper details our implemented solution and experimental results of the two use cases. Our framework can be adopted by organizations that need to share sensitive data securely during dynamic, limited duration scenarios.en_US
dc.description.sponsorshipThis work was partially supported by Office of Naval Research grant# N00014-18-1-2452.en_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/947/A-Framework-for-Situation-Aware-Access-Control-in-Federated-Data-as-a-Service-Systems-Based-on-Query-Rewritingen_US
dc.format.extent11 pagesen_US
dc.genreconference proceeding prepintsen_US
dc.identifierdoi:10.13016/m2biqt-udxo
dc.identifier.citationSamson Oni, Zhiyuan Chen, Adina Crainiceanu, Karuna Pande Joshi, and Don Needham, A Framework for Situation-Aware Access Control in Federated Data-as-a-Service Systems Based on Query Rewriting, IEEE International Conference on Services Computing (IEEE SCC), 2020en_US
dc.identifier.urihttp://hdl.handle.net/11603/19714
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis 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.rightsPublic Domain Mark 1.0*
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleA Framework for Situation-Aware Access Control in Federated Data-as-a-Service Systems Based on Query Rewritingen_US
dc.typeTexten_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
1036.pdf
Size:
653.33 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

UMBC Information Systems Department
UMBC Faculty Collection
UMBC Student Collection