Private Key Based Query on Encrypted Data

Nowadays, users of information systems have inclination to use a central server to decrease data transferring and maintenance costs. since such a system is not so trustworthy, users' data usually upkeeps encrypted. however, encryption is not a nostrum for security problems and cannot guarantee the data security. in other words, there are some techniques that can endanger security of encrypted data. majority of existing methods for encrypted data management have some critical defects such as cryptanalysis attacks, encryption/decryption overhead, and inefficient data storing and retrieval. in this paper, at first we propose a prototype model of private key based search on encrypted data. then we try to improve it significantly to meet security requirements. our main goal is to offer a practical method of querying arbitrary words on encrypted data using a minimal trust model. moreover, we present a model for balancing between performance and security based on user's requirements. in comparison with other methods, query response time is improved and the probability of statistical deductions is reduced