TEES: An Efficient Search Scheme over Encrypted Data on Mobile Cloud

Data privacy is a growing challenge in cloud computing, as the users data are uploaded on a third party cloud. To preserve data privacy for user uploaded data, the data is encrypted and stored in cloud server. When the user request for data, it can be downloaded and decrypted from user side. Data encryption incurs high overhead, which make it necessary to find an efficient search scheme. Existing technique uses, single keyword search on encrypted data, in which user may or may not get his relevant document, thus he has to do search again or download all relevant file, which incurs high communication cost. To overcome this problem, we propose multi-keyword energy efficient search scheme handles the user query effectively and gets most relevant results to user, reducing the communication cost between cloud and user. Using this technique, privacy for user uploaded data is not degraded.

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