Dynamic Cluster based Privacy-Preserving Multi-Keyword Search over encrypted cloud data

Abstract

Cloud computing enables the data stored on the cloud to be accessed anytime and anywhere. The data stored online must be encrypted using either symmetric key encryption or public key encryption to prevent it from unauthorized access. The end user may desire to perform dynamic updates i.e. insertion, deletion and modification of data along with the search operation on the encrypted cloud data to improve the search efficiency. The search operation is performed to access its current up-to-date version from anywhere and at anytime. In earlier search schemes the generated index was static in nature which used to support only searching. To handle the dynamic updates along with searching, the generated index is made dynamic instead of static. The proposed search scheme posses all the security requirements as proposed in the existing approaches in literature but provides searching and dynamic updates results efficiently. Experimental results demonstrate the effectiveness of the proposed dynamic search scheme as it efficiently retrieves the documents with the updated version. Also the cost of index generation is reduced as compared to existing available searching schemes which support tree-based index.