A Method of Policy Conflict Detection Based on SWRL Rules

Jie Zhou; Qing Guo Shen; Yu Dong Xu; Zhen Wei Yu

doi:10.4028/www.scientific.net/AMR.546-547.955

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 546-547A Method of Policy Conflict Detection Based on...

A Method of Policy Conflict Detection Based on SWRL Rules

Abstract:

Policy-based management technology which is used for managing enterprise-wide networks and distributed systems is getting more and more attention. Policy conflict detection and solution is a difficulty in this field. In this paper, we present a novel method of policy conflict detection based on SWRL rules. First, we construct a policy ontology model, and represent the policies with Web Ontology Language (OWL). Then the SWRL rules used to detect conflict is presented. Finally, an example is shown to illustrate how to use our method to detection the conflicts in the managed system, the feasibility and the validity of our proposed method are proved out.

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Periodical:

Advanced Materials Research (Volumes 546-547)

Pages:

955-960

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.546-547.955

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Online since:

July 2012

Authors:

Jie Zhou, Qing Guo Shen, Yu Dong Xu, Zhen Wei Yu

Keywords:

Conflict Detection, Ontology, Policy Based Management, Protégé, SWRL

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References

[1] MORRIS SLOMAN, Policy Driven Management for Distributed Systems, Journal of Network and System Management, vol. 4, pp.333-360, (1994).

Google Scholar

[2] IETF RFC 3198, Terminology for Policy based Management, (2001).

Google Scholar

[3] R. Studer, V.R. Benjamins, and D. Fensel, Knowledge Engineering: Principles and Methods, Data & Knowledge Engineering, 1998, 25, pp.161-197.

DOI: 10.1016/s0169-023x(97)00056-6

Google Scholar

[4] M. Smith, C. Welty, and D. McGuinness, OWL Web Ontology Language guide, W3C Candidate Recommendation, 2004, Available at: http: /www. w3. org/TR/owl-guide.

Google Scholar

[5] MOFFETT J D, Specification of Management Policies and Discretionary Access Control, Morris Sloman. Network and Distributed Systems Management, Boston, Addison-Wesley, 1994, pp.455-480.

Google Scholar

[6] HE Zai-lang, TIAN Jing-dong, and ZHANG Yu-sen, Style Refinement and Detection Improvement of Policy Conflict, Journal of Jilin University(Information Science Edition), vol. 23, pp.287-293, May (2005).

Google Scholar

[7] I. Horrocks, P. Patel-Schneider, H. Boley, S. Tabet, B. Grosof, and M. Dean, SWRL: A Semantic Web Rule Language Combining OWL and RuleML, 2004. Available at: http: /www. w3c. org/Submission/SWRL.

Google Scholar

[8] Ernest Friesman-Hill, Jess in action, United states: Manning Publication Co, (2003).

Google Scholar