Service Outsourcing Character Oriented Privacy Conflict Detection Method in Cloud Computing
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 pap...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2014/240425 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832563678617010176 |
---|---|
author | Changbo Ke Zhiqiu Huang Weiwei Li Yi Sun Fangxiong Xiao |
author_facet | Changbo Ke Zhiqiu Huang Weiwei Li Yi Sun Fangxiong Xiao |
author_sort | Changbo Ke |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-ffc685936bd94d28a7ad637677106fa3 |
institution | Kabale University |
issn | 1110-757X 1687-0042 |
language | English |
publishDate | 2014-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Applied Mathematics |
spelling | doaj-art-ffc685936bd94d28a7ad637677106fa32025-02-03T01:12:56ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/240425240425Service Outsourcing Character Oriented Privacy Conflict Detection Method in Cloud ComputingChangbo Ke0Zhiqiu Huang1Weiwei Li2Yi Sun3Fangxiong Xiao4College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, ChinaCollege of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, ChinaCollege of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, ChinaCollege of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, ChinaCollege of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, ChinaCloud 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.http://dx.doi.org/10.1155/2014/240425 |
spellingShingle | Changbo Ke Zhiqiu Huang Weiwei Li Yi Sun Fangxiong Xiao Service Outsourcing Character Oriented Privacy Conflict Detection Method in Cloud Computing Journal of Applied Mathematics |
title | Service Outsourcing Character Oriented Privacy Conflict Detection Method in Cloud Computing |
title_full | Service Outsourcing Character Oriented Privacy Conflict Detection Method in Cloud Computing |
title_fullStr | Service Outsourcing Character Oriented Privacy Conflict Detection Method in Cloud Computing |
title_full_unstemmed | Service Outsourcing Character Oriented Privacy Conflict Detection Method in Cloud Computing |
title_short | Service Outsourcing Character Oriented Privacy Conflict Detection Method in Cloud Computing |
title_sort | service outsourcing character oriented privacy conflict detection method in cloud computing |
url | http://dx.doi.org/10.1155/2014/240425 |
work_keys_str_mv | AT changboke serviceoutsourcingcharacterorientedprivacyconflictdetectionmethodincloudcomputing AT zhiqiuhuang serviceoutsourcingcharacterorientedprivacyconflictdetectionmethodincloudcomputing AT weiweili serviceoutsourcingcharacterorientedprivacyconflictdetectionmethodincloudcomputing AT yisun serviceoutsourcingcharacterorientedprivacyconflictdetectionmethodincloudcomputing AT fangxiongxiao serviceoutsourcingcharacterorientedprivacyconflictdetectionmethodincloudcomputing |