Model for Hiding Data Relationships Based on Chunk-Confusion in Cloud Computing
Yu Chen, Yuliang Shi, LiZhen Cui · 2016
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 Ldiversity 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.