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The ever expanding the usage of cloud computing environments, connected applications and Internet of Things-based devices have progressively increased the amount of data that travels through our networks. Software-defined network (SDN) is an emergent paradigm that aims to support next-generation networks through its flexible and powerful management mechanisms. One of the biggest threats faced by these services nowadays is security management. Attacks based on the denial of service (DoS) are particularly efficient against this paradigm due to its centralized control characteristic. Once this controlling system receives a massive amount of malicious requests, the overall performance of the network operation is impaired. Although several researches propose to address this problem, most of them are reactive approaches, detecting the attacks and warning the network administrators, i.e., after the network is already compromised. This paper presents an autonomic DoS/DDoS defensive approach for SDNs called Game Theory (GT)-Holt-Winters for Digital Signature (HWDS), which unites the anomaly detection and identification provided by an HWDS system with an autonomous decision-making model based on GT. Real collected data and simulated attacks are used by the system to measure its effectiveness and efficiency. Furthermore, we also use a heuristic Fuzzy-GADS method for anomaly detection instead of HWDS, aiming to compare the achieved performance and evaluate the behavior of the presented game theoretical approaches a standalone mitigation module.

A Game Theoretical Based System Using Holt-Winters and Genetic Algorithm With Fuzzy Logic for DoS/DDoS Mitigation on SDN Networks