الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
In our today’s life, it is obvious that cloud computing is store and retrieves data. Search over encrypted data is a technique of great interest in the cloud computing era because of the confidence that the sensitive data must be encrypted before outsourcing to the cloud servers in order to guarantee user data privacy. Thus the need to develop an efficient and secure search scheme over encrypted data involves techniques from multiple domains, algorithms for search efficiency, and convenient design of cryptographic algorithms to ensure the security and privacy of the overall system have been considered as a paramount importance task in cloud computing.
The aim of avoiding any leakage or disclosure of information, we will encrypt the important information or confidential prior to being uploaded on the server as well as we provide some solutions for obstacle which encounters any attempt to support any efficient keyword query to be ranked with matching results on such encrypted data. Also, in this thesis, the state-of-the-art mechanisms for privacy preserving of multikeyword search over encrypted data (MRSE) are introduced and summarizes a different kind of searching techniques for the encrypted data over the cloud, we achieve effective search technique using inner product similarity measure ”coordinate matching”. Furthermore, we establishes an integrated solution called privacy preserving of ranked search model to solve the challenging problem of (MRSE). As well accurate analysis investigating privacy and efficiency of the proposed model is provided, and experiments have demonstrated that the proposed model has achieved low overhead on both calculation and correspondence.We also propose a new scheme called Preserving Privacy of Multi-Keyword search over Encrypted Cloud Computing (MSECC) to improve the performance of cloud computing and to safeguard privacy of data in comparison to the results of previous researches.