Exploiting Code Generation and Belief Propagation to Infer Identity of Polluters in Cloud Environment

Abstract

In today’s, digital world the usage of new technology has increased tremendously. Nowadays, the confidentiality of our data which we send or store for our privacy purpose is not completely secured and protected. It’s because of digitalized thefts like Brute Force attack, corruption of data, cloud storage data thereafter etc. In order to overcome these thefts and secure our data, I have proposed a web application security using RKG and Belief Propagation algorithm. Here, we can able to secure the data even in cloud storage system. Using these algorithms, detection of corrupt data, password thereafter has been done and the data is secured and protected in this web application security.