Reducing the Effects of DDos Attacks in Software Defined Networks Using Cloud Computing

Abstract

Software-defined networking (SDN) is a networking architecture that enables simple programming of network devices. SDN allows the isolation of network resources using clearly defined APIs to accomplish multiple tenant networks with appropriate QoS (Quality of Service) and SLAs. The most critical issues among Cloud providers and organizational network infrastructures are Denial of Service (DDoS) attacks. SDN is more susceptible to controller resource exhaustion due to the rising frequency of distributed denial-of-service (DDoS) attacks. DDoS attacks make it difficult for the SDN controller to handle all received packets effectively, which may cause a network crash or deny authorized users access to network resources. The proposed traffic rate-based threshold (TRT) to overcome these DDoS attacks in SDN. The proposed work calculates the threshold based on the traffic and provides an alternate path enabling SDN with highly efficient and flexible solutions. To examine the efficiency of the proposed work, a comparison work is carried out with Renyi Joint Entropy-Based Dynamic Threshold Approach (RJE) and reactive & proactive (RP). The performance metrics considered are throughput, recovery time, and traffic. On all the metrics, the performance obtained by the proposed TRT is far better than the others.