Investigation Distributed Denial of Service Attack Classification Using MLPNN-BP and MLPNN-LM

The cloud computing integrates different computing technologies in providing services to users. The Denial of Service (DoS) attack is that attack where an attacker will deny the legitimate users an access to the machines and make the computing resources busy with handling of requests. The Back propagation (BP) which is a neural network learning algorithm and this is learnt by an iterative processing of a data set consisting of training tuples. One of the most popular static networks is known as Multi-Layered Preceptron (MLP). The MLP is the feed forward of neural networks trained using a standard back propagation algorithm. In this paper, a DDoS attack is classified as a technique of machine learning that runs parallel to MLPNN-BP and MLPNN-LM.