A partial inference control based data disclosure with effective cost in cloud

Abstract

Cloud computing is one of the most pre-dominant in recent trends for computing and storing purposes. It introduces an enhanced approach towards management flexibility and economic distributed applications. The data owners must place their valuable information into the public cloud servers which are not within their trusted domains. Privacy-preserving database in cloud allows a database owner to outsource its encrypted database to a cloud server. Hence, security and privacy of data is the major concern in the cloud computing. To overcome this information disclosure, the service providers encrypts the sensitive data before uploading to the cloud servers. The plain text keyword search is impossible, because data stored in public clouds increases in an exponential manner. Previously encrypt the data is based on the frequency of queries on the table. The data which are common among the tables can be retained and the sensitive information can be encrypted. By using the partial inference control based data disclosure approach the cost and delay for computation can be reduced. In addition to predicting the data cannot be done at any case. This provides a high level security at low cost.