Secure Similarity Search on Outsourced Metric Data

-Cloud computing has become an affordable technology for outsourcing data. This will help individuals and organizations to have plethora benefits such as storage, platform, software and other services. In spite of the advantages, the cloud users have security concerns as the cloud server is considered “untrusted”. In this paper we propose and build a security mechanism that provides complete security to outsourced data. We considered a scenario where three parties are involved. They are cloud server, data owners and trusted clients. The data owners store and retrieve data. The cloud server is meant for storing outsourced data. The trusted client gets data of data owners from server by making NN queries. We built various techniques that help in secure storage retrieval and querying of outsourced data. When data is sent to cloud, it is transformed and encrypted before storing into server. This will be decrypted when queries are made by trusted clients. We built a prototype application that shows the usefulness of the proposed mechanism and the empirical results are encouraging. Index Terms – Cloud storage, security, NN queries, metric data, cloud service provider