Neural based Security Approach for Cloud Databases using Counter Propagation

Abstract

Neural Network is an efficient implementing technique for cryptographic algorithms to provide security in cloud environment. Cloud Computing is an outsourced on-demand computing service, where Privacy preserving is very difficult to provide. Secured Data Sharing is important in cloud storage aspect. The proposed Neural Data Security Model ensures high data confidentiality and security in cloud database environment. This Model is a combination of , Sensitive Data Component (SDC) and Counter Propagation Neural Data Security Component (CPNDSC). The Sensitive data Component is implemented for storing the fragmented sensitive data. In Neural Data Security Component the Neural cryptographic algorithm is used to encrypt the sensitive data to enhance the confidentiality level by using Counter Propagation Neural Network.This reasearch is carried on cloud databases and artificial Neural Network that achieves high data security in cloud environment.