For example , if Alice is the only patient with a rare disease in a PHR database , by designing the query in a clever

Mobile cloud computing enables new types of services where the computational and network resources are available online through the Internet. One of the most popular services of mobile cloud computing is data outsourcing. For reasons of cost and convenience, public as well as private organizations can now outsource their large amounts of data to the mobile cloud and enjoy the benefits of remote storage. At the same time, confidentiality of remotely stored data on un trusted mobile cloud server is a big concern. In order to reduce these concerns, sensitive data, such as, personal health records, emails, income tax and financial reports, etc. are usually outsourced in encrypted form using well-known cryptographic techniques. Although encrypted data storage protects remote data from unauthorized access, it complicates some basic, yet essential data utilization services such as plaintext Abstract: As mobile cloud computing become more flexible & effective in terms of economy, data owners are motivated to outsource their complex data systems from local sites to commercial public mobile cloud. But for security of data, sensitive data has to be encrypted before outsourcing, which overcomes method of traditional data utilization based on plaintext keyword search. Due to the increasing popularity of mobile cloud computing, more and more data owners are motivated to outsource their data to mobile cloud servers for great convenience and reduced cost in data management. However, sensitive data should be encrypted before outsourcing for privacy requirements, which obsoletes data utilization like keyword-based document retrieval. In this paper, we present a secure multi-keyword ranked search scheme over encrypted mobile cloud data, which simultaneously supports dynamic update operations like deletion and insertion of documents. Considering the large number of data users and documents in mobile cloud, it is necessary for the search service to allow multi-keyword query and provide result similarity ranking to meet the effective data retrieval need. Retrieving of all the files having queried keyword will not be affordable in pay as per use mobile cloud paradigm. In this paper, we propose the problem of Efficient Mobile Multi keyword search(EMMS) over encrypted mobile cloud data (ECD), and construct a group of privacy policies for such a secure mobile cloud data utilization system. From number of multi-keyword semantics, we select the highly efficient rule of coordinate matching, i.e., as many matches as possible, to identify the similarity between search query and data, and for further matching we use inner data correspondence to quantitatively formalize such principle for similarity measurement. Searchable encryption allows one to upload encrypted documents on a remote honest-but-curious server and query that data at the server itself without requiring the documents to be decrypted prior to searching. Inthis work We first propose a basic Secured multi keyword ranked search scheme using secure inner product computation, and then improve it to meet different privacy requirements. The Ranked result provides top retrieval results. Due to the use of our special structure, the proposed scheme can achieve sub-linear search time and deal with the deletion and insertion of documents flexibly. Extensive experiments are conducted to demonstrate the efficiency of the proposed scheme. Also we propose an alert system which will generate alerts when un-authorized user tries to access the data from mobile cloud, the alert will generate in the form of mail and message.