Cloud Data retrieval process by Trapdoor Using indexes of Document

Abstract

In a mobile cloud computing system, the outsourced data need to be encrypted due to the privacy and confidentiality concerns of their owners. Encrypted data should be accurately searchable and retrievable without any privacy leaks, concretely for the mobile client. The challenges imposed by wireless networks, such as latency sensitivity, poor connectivity, and low transmission rates. This leads to a long search time and extra network traffic costs when utilizing traditional search schemes. In this, a traffic and energy preserving encrypted search scheme is utilized for simplified search and retrieval process that reduces the network traffic reduced by engendering lightweight trapdoor i.e. .encrypted keyword compression technique utilizing mermer hashing technique and Ranked Serial Binary Search (RSBS) algorithm that reduces search time. In additament, we provide an authentic world application of the proposed scheme and verify the theoretical results with empirical observations on an authentic dataset.