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Journal of Applied Mathematics
Volume 2014, Article ID 240425, 11 pages
Research Article

Service Outsourcing Character Oriented Privacy Conflict Detection Method in Cloud Computing

1College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China
2School of Computer Science & Technology/School of Software, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210023, China
3School of Information and Statistics, Guangxi University of Finance and Economics, Nanning 530003, China

Received 21 November 2013; Accepted 23 February 2014; Published 15 May 2014

Academic Editor: Zhi-Hong Guan

Copyright © 2014 Changbo Ke et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Cloud computing has provided services for users as a software paradigm. However, it is difficult to ensure privacy information security because of its opening, virtualization, and service outsourcing features. Therefore how to protect user privacy information has become a research focus. In this paper, firstly, we model service privacy policy and user privacy preference with description logic. Secondly, we use the pellet reasonor to verify the consistency and satisfiability, so as to detect the privacy conflict between services and user. Thirdly, we present the algorithm of detecting privacy conflict in the process of cloud service composition and prove the correctness and feasibility of this method by case study and experiment analysis. Our method can reduce the risk of user sensitive privacy information being illegally used and propagated by outsourcing services. In the meantime, the method avoids the exception in the process of service composition by the privacy conflict, and improves the trust degree of cloud service providers.