Adaptive encryption technique for security and data confidentiality solutions in cloud data base services

The user's perception that the confidentiality of their data is endangered by internal and external attacks is limiting the diffusion of public cloud database services. In this context, the use of cryptography is complicated by high computational costs and restrictions on supported SQL operations over encrypted data. Database as a Service paradigm (DBaaS) poses several research challenges in terms of security and cost evaluation from a tenant's point of view. Cost models associated with different application execution models are proposed and these cost models can be composed to determine costs of different scenarios. We present techniques to estimate costs for service dependency and to monitor costs associated with typical scientific applications Database service model provide users power to create, store, modify and retrieve data from anywhere in the world as long as they have access to the internet. It introduces several challenges, an important issue being data privacy. Here it has been proposed that it takes advantage of adaptive encryption mechanisms to guarantee at runtime the best level of data confidentiality for any type of SQL operation. The adaptive encryption of public cloud database offers an interesting alternative to the trade-off between the required data confidentiality level and the flexibility of the cloud database structures at design time. The experiments are to be conducted out to show that these encryption schemes represent a feasible solution for achieving data confidentiality in public cloud databases even from a performance point of view.