Application layer proxy detection, prevention with predicted load optimization

Abstract

In this paper, we have formulated a solution for proxy usages in a network. We all are surrounded with digital signatures around us, we just need to filter those to make our network clean, secure, efficient. Is what we did in this research work. There is also a great need of load optimization at different points in the network. We have proposed a way to use machine learning and neural networks to apply it on a network. Our basic approach to do this work is a time quantum analysis for load prediction over a network and digital signature validation for proxy detection at the application layer. There are many methods to detect network statistics and security at different layers, but we need real-time analysis in the network and prevention measure right before it happens.