Ma, Taotao and Wang, Hua and Cao, Jinli and Yong, Jianming and Zhao, Yueai (2016) Access control management with provenance in healthcare environments. In: 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCDW 2016), 4-6 May 2016 , Nanchang, China.
Abstract
Provenance, describes how a data item came to be
its current state. A Directed Acyclic Graph, nature of the
provenance poses challenges to access control models and
querying languages. Access control policies are needed to protect the security of data provenance. In this paper, we apply proposed notions of regular expression for provenance as the structure of a provenance graph is very large. We use an extending access control language for data provenance, and semantic Web technologies to effectively query provenances. Finally, we tailored an access control language by using the regular expressions through a medical example.
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Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
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Refereed: | Yes |
Item Status: | Live Archive |
Additional Information: | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Faculty/School / Institute/Centre: | Historic - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 Jul 2013 - 17 Jan 2021) |
Faculty/School / Institute/Centre: | Historic - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 Jul 2013 - 17 Jan 2021) |
Date Deposited: | 08 Mar 2017 06:02 |
Last Modified: | 05 Jun 2017 02:25 |
Uncontrolled Keywords: | provenance, access control, security, OPM |
Fields of Research (2008): | 08 Information and Computing Sciences > 0806 Information Systems > 080699 Information Systems not elsewhere classified |
Fields of Research (2020): | 46 INFORMATION AND COMPUTING SCIENCES > 4609 Information systems > 460999 Information systems not elsewhere classified |
Identification Number or DOI: | https://doi.org/10.1109/CSCWD.2016.7566048 |
URI: | http://eprints.usq.edu.au/id/eprint/30423 |
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