DDoS Attacks in Service Clouds

The scalability and dynamic configuration of service clouds can be susceptible to Distributed Denial of Service (DDoS) attacks. The attack on web services causes a performance decrease in the cloud applications or can shut them down. Additionally, due to the high distribution of the service cloud components, finding the original attacking service becomes a far more complex task. This paper advocates a DDoS attack detection approach for service clouds and develops efficient algorithms to resolve the originating service for the attack. The detection approach is composed of four levels such that each level detects symptoms of DDoS attacks from its local data. The detection results of all levels are corroborated to confirm the victim and attacking services. We evaluate our proposed solution by using a random dataset. The results indicate that it is a promising solution to mitigate the DDoS attack in the service cloud.