Automated Policy Combination for Data Sharing across Multiple Organizations

Duan, L; Chen, S; Zhang, Y; Liu, C; Liu, D; Liu, RP; Chen, J

Automated Policy Combination for Data Sharing across Multiple Organizations

Duan, L Chen, S Zhang, Y Liu, C Liu, D Liu, RP

Chen, J

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2015 IEEE International Conference on Services Computing, SCC 2015, 2015, pp. 226 - 233
Issue Date:: 2015-08-17

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Field	Value	Language
dc.contributor.author	Duan, L	en_US
dc.contributor.author	Chen, S	en_US
dc.contributor.author	Zhang, Y	en_US
dc.contributor.author	Liu, C	en_US
dc.contributor.author	Liu, D	en_US
dc.contributor.author	Liu, RP https://orcid.org/0000-0001-7001-6305	en_US
dc.contributor.author	Chen, J	en_US
dc.date.issued	2015-08-17	en_US
dc.identifier.citation	Proceedings - 2015 IEEE International Conference on Services Computing, SCC 2015, 2015, pp. 226 - 233	en_US
dc.identifier.isbn	9781467372817	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121251
dc.description.abstract	© 2015 IEEE. During business consolidation, multiple organizations need to share data for common interests. However, these organizations may apply different or even conflicting policies, on account of different rules and rule combining algorithms chosen by them. Thus, it is necessary to combine policies from multiple organizations into a global one to manage the access to the shared data. Existing policy combining approaches are unable to automatically combine policies into a global one. In this paper, we propose an approach to address the issue of multiple policies combination. Its key idea is to first decompose the rules in each policy into various classes, and then combine the rules of the corresponding classes to a global compact policy. The latter ensures compliance with each of the original policies at the syntax and semantic levels. To validate our approach, we provide a proof-of-concept implementation of the automated policy combination.	en_US
dc.relation.ispartof	Proceedings - 2015 IEEE International Conference on Services Computing, SCC 2015	en_US
dc.relation.isbasedon	10.1109/SCC.2015.39	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Automated Policy Combination for Data Sharing across Multiple Organizations	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2015 IEEE. During business consolidation, multiple organizations need to share data for common interests. However, these organizations may apply different or even conflicting policies, on account of different rules and rule combining algorithms chosen by them. Thus, it is necessary to combine policies from multiple organizations into a global one to manage the access to the shared data. Existing policy combining approaches are unable to automatically combine policies into a global one. In this paper, we propose an approach to address the issue of multiple policies combination. Its key idea is to first decompose the rules in each policy into various classes, and then combine the rules of the corresponding classes to a global compact policy. The latter ensures compliance with each of the original policies at the syntax and semantic levels. To validate our approach, we provide a proof-of-concept implementation of the automated policy combination.

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http://hdl.handle.net/10453/121251