Detecting DDoS attacks in cloud computing using ANN and black hole optimization

Abstract

Cloud computing is now a widely accepted technology, as it provides on-demand services on pay-as-you-use basis. These services are provided over Internet, worldwide. Availability is a major concern in this technology. Distributed denial of service (DDoS) attack is used to thwart the availability of cloud services. In this paper, we propose a model to detect DDoS attacks in cloud computing based on artificial neural networks and black hole optimization algorithm.