A Method for Secure Data Outsourcing Utilizing Hybrid Data Partitioning

Abstract

Considering the recent advancements made in internet speed and the development of cloud services, along with the various benefits offered by the cloud such as reliability and convenient accessibility, it becomes necessary to incorporate additional features like flexibility and efficient resource utilization. However, in pursuit of these enhancements, data owners encounter challenges related to outsourcing and safeguarding sensitive data against unauthorized access.Researchers have discovered that segmenting data according to its sensitivity level can prevent data leakage and improve performance. This is achieved by encrypting the partition containing sensitive data along with portions of non-sensitive data using both vertical and horizontal partitioning techniques. A secure data outsourcing method is suggested, which involves a hybrid approach combining horizontal and vertical partitioning. This method employs a set of predefined rules during the query request process, utilizing Query Binning (QB) and metadata from hybrid partitioning. Data encryption is performed using the AES algorithm in compliance with the proposed rules. The effectiveness of this approach is verified through experiments conducted with generated sample data sets. Results demonstrate that our proposed approach surpasses the security performance of the PANDA approach, ensuring non-linkability and indistinguishability security requirements are met. The results of conducted experiments are explained and shown using different bar charts.