标题:Model for hiding data relationships based on chunk-confusion in cloud computing
作者:Chen, Yu ;Shi, Yuliang ;Cui, LiZhen
通讯作者:Shi, Yuliang
作者机构:[Chen, Yu ;Shi, Yuliang ;Cui, LiZhen ] School of Computer Science and Technology, Shandong University, Jinan, China;[Shi, Yuliang ;Cui, LiZhen ] Elect 更多
会议名称:Joint 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016
会议日期:23 August 2016 through 26 August 2016
来源:Proceedings - 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016
出版年:2016
页码:837-844
DOI:10.1109/TrustCom.2016.0146
关键词:Cloud computing; Data relationships; Forgery; Hide; Privacy protection
摘要:In cloud computing environments, the data operations of tenants destroy the original data relationships, which put tenants' privacy at risk of being leaked. Therefore, the paper proposes a privacy protection model for hiding data relationships based on chunk-confusion. For insert, delete and update operations, based on the L-diversity principle, this paper proposes L-K-equilibrium that ensures the distribution balancing of privacy data. Besides, the forgery data generation strategy is brought up to confuse privacy data and SQL statements, which hides the relationships between data chunks and data slices. To queries, through adding forgery SQL to confuse the SQL truly executed, the paper achieves success in hiding association relations among data chunks. The experimental evaluation proves that the model proposed in this paper can more effectively hide data relationships and protect the privacy of tenants. Meanwhile, it has good feasibility and practicability. © 2016 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015151069&doi=10.1109%2fTrustCom.2016.0146&partnerID=40&md5=dae38bf8445e87491489021e71014842
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