An Efficient and Dynamic Search on Encrypted Data

A secure outsourcing of computation to an untrusted (cloud) service provider is becoming more and more important. To protect data privacy, the sensitive data should be encrypted by data owner before outsourcing, which makes the search sequence useless. In this paper, we present an efficient, secure and parallel dynamic search scheme on encrypted cloud data which concurrently supports dynamic update operation like deletion and insertion of documents. The most important shortcoming that is addressed by OTPs is that, in contrast to static passwords, they are not vulnerable to replay attacks. The AES algorithm is use to encrypt and decrypt the message with efficient multi-keyword Boolean search. We show that our approach is highly efficient and ready to be deployed in the real world cloud storage systems.