Enhanced Data Security Using Neural Network in Cloud Environment

Cloud is an on-demand computing service which provides a dynamic environment for end users to assure Quality of Service (QoS) on data for its confidentiality in cloud data centers. A set of information from a cloud database with a high security level accessing data is said to be Confidentiality. The proposed research work is a new cloud data security model, A Neural Data Security Model (NDSM) to ensure the high confidentiality and security in cloud data storage environment. This cloud Data Security Model is implemented using Dynamic Hashing Fragmented Component. The dynamic hashing concept is implemented for storing the fragmented sensitive data. The neural cryptographic algorithm is used in the data security model to deal with data encryption for sensitive data to enhance the confidentiality level. This work couples of cloud database that achieves high confidentiality on data security.