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, YL;Shi, YL
作者机构:[Chen, Yu; Shi, Yuliang; Cui, LiZhen] Shandong Univ, Sch Comp Sci & Technol, Jinan, Peoples R China.; [Shi, Yuliang; Cui, LiZhen] Shandong Univ, Ele 更多
会议名称:15th IEEE Int Conf on Trust, Security and Privacy in Comp and Commun / 10th IEEE Int Conf on Big Data Science and Engineering / 14th IEEE Int Symposium on Parallel and Distributed Proc with Applicat (IEEE Trustcom/BigDataSE/ISPA)
会议日期:AUG 23-26, 2016
来源:2016 IEEE TRUSTCOM/BIGDATASE/ISPA
出版年:2016
页码:837-844
DOI:10.1109/TrustCom.2016.145
关键词:privacy protection; cloud computing; data relationships; forgery; hide
摘要:In cloud computing environments, the privacy protection mechanism based on chunk-confusion is implemented to protect the privacy information of the tenants in plaintext. However, data operations of the tenants (e.g., insert, delete, etc.) can change the distribution of the underlying data storage, making the relationships between the chunks in a significant risk of leakage due to the uneven data distribution. Therefore, the paper proposed a privacy protection model for hiding data relationships based on chunk-confusion. First, based on the L-diversity principle, the paper proposed L-K-equilibrium ensuring the distribution balancing of privacy data and no leakage. Next, the forgery data generation strategy is brought up to confuse changing privacy data, which hides the relationships between data chunks and data slices. Finally, through adding forgery SQL to confuse the SQL truly executed, the paper achieves success in hiding relationships among data chunks from the level of SQL log. The experimental evaluation proves that our model can more effectively hide data relationships and has better effect of privacy protection.
收录类别:CPCI-S
资源类型:会议论文
TOP