Abstract

Abstract: Cloud storage offers users easy, large,and scalable storage at a low cost, but data protection is a major concern thatprevents users from trusting the cloud with their content. Encrypting filesbefore uploading them to the cloud and decrypting them after accessing them isone way to enhance privacy from the viewpoint of the data owner. Dataencryption, on the other hand, is a significant overhead for mobile devices,and data retrieval necessitates a convoluted communication mechanism betweenthe data user and the cloud. With restricted network capacity and battery life,these problems usually result in considerable overhead in computing andcommunication, as well as increased power usage for mobile device users, makingencrypted search over mobile cloud extremely difficult. We suggest TEES(Traffic and Energy Saving Encrypted Search) as bandwidth and energy efficientencrypted search architecture for the mobile cloud in the proposed framework.The proposed architecture offloads computation from mobile devices to thecloud, and the communication between mobile clients and the cloud is furtheroptimized. It has been shown that when performance enhancing techniques areused, data protection does not suffer. Our tests show that TEES speeds up fileretrieval and saves resources, while also reducing network traffic.

Keywords: TEES(Traffic and Energy Saving Encrypted Search); Mobile Cloud Storage (MCS);symmetric encryption (SSE); order-preserving symmetric encryption (OPSE);.TF (Term Frequency); Order Preserving Encryption (OPE).