Description

In recent years, due to the appealing features of cloud computing, large amount of data have been stored in the cloud. Although cloud based services offer many advantages, privacy and security of the sensitive data is a big concern. To mitigate the concerns, it is desirable to outsource sensitive data in encrypted form. Encrypted storage protects the data against illegal access, but it complicates some basic, yet important functionality such as the search on the data. To achieve search over encrypted data without compromising the privacy, considerable amount of searchable encryption schemes have been proposed in the literature. However, almost all of them handle exact query matching but not similarity matching; a crucial requirement for real world applications. Although some sophisticated secure multi-party computation based cryptographic techniques are available for similarity tests, they are computationally intensive and do not scale for large data sources. In the existing system, encrypted search has evolved toward the ability data sharing with protection of users’ privacies. It is not compatible with existing file encryption schemes and it cannot deal with compressing data. In this project the system proposed a TEES (Traffic and Energy saving Encrypted Search), a bandwidth and energy efficient encrypted search architecture over mobile cloud. It has been highlighted that offloading some computation intensive applications onto the cloud can be an efficient low power design philosophy. The security level of TEES is guaranteed and enhanced for MCS wireless communication channels. The proposed scheme achieves the security and efficiency goals.