Distributed denial of service attack detection using ant bee colony and artificial neural network in cloud computing

Abstract

Distributed Denial of Services (DDoS) attack is the one of the most dangerous threats in the cloud computing. A group of zombies tries to attack a single target so that the victim is not able to use the resources more, and it leads to shutting down the system. And the actual attacker is hard to trace. In the proposed method, we used a hybrid approach which is Artificial Bee Colony and Back Propagation Artificial Neural Network. The proposed method is used to detect the DDoS attack in cloud computing. Firstly, the Artificial Bee Colony selects the weights and thresholds on the basis of minimum mean square error. And these weights and thresholds are used to initialize Back Propagation Artificial Neural Network. And then the training is performed based on the Back Propagation technique. It increases the speed and accuracy of detecting the DDoS attack.