Smart and Lightweight DDoS Detection Using NFV
Talal Alharbi, Ahamed Aljuhani, Hang Liu, Chunqiang Hu · 2017
The Distributed Denial of Service (DDoS) attack is a major threat to the network infrastructure. Network providers suffer from various types of DDoS attacks; the attack uses different advanced techniques such as botnets and tools to launch the attacks. Recent sophisticated attacks used botnets involve IoT devices which is a new DDoS method to disrupt network services. Most present mechanisms use different techniques to detect DDoS attacks; however, they have some limitations such as early and fast detection, high computation, and accuracy. In this paper, we propose a smart and lightweight DDoS detection using NFV. Our proposed solution aims to detect all DDoS attacks with different techniques and apply deep inspection to distinguish legitimate traffic from attack traffic.