Defending SDN-based IoT Networks Against DDoS Attacks Using Markov Decision Process
Jianjun Zheng, Akbar Siami Namin · 2018
The emerging Internet of Things (IoT) has increased the complexity and difficulty of network administration. Fortunately, Software-Defined Networking (SDN) provides an easy and centralized approach to administer a large number of IoT devices and can greatly reduce the workload of network administrators. SDN-based implementation of networks, however, has also introduced new security concerns, such as increasing number of DDoS attacks. This paper introduces an easy and lightweight defense strategy against DDoS attacks on IoT devices in a SDN environment using Markov Decision Process (MDP) in which optimal policies regarding handling network flows are determined with the intention of preventing DDoS attacks.