The service provided by SG is crucial and the availability of such a service is extremely important. Millions of consumers are serviced by SG. Such attacks may result in wrong smart meter readings or incorrect demands or responses to or from electricity company or they can be severe for power generation systems. Moreover, the IP-enabled communication infrastructure in SGs raises the likelihood of malicious activities and attacks. On the other hand, such facilities give birth to complexity, heterogeneity, and interconnectivity of diverse ICT requirements due to which the existing network paradigms and security strategies are marked as ineffective. It holds the capability to remove the constraints of a traditional grid infrastructure and provide power systems that are scalable, dynamic, situation-aware, and flexible. This requirement paved path towards the Smart Grid (SG) paradigm that ensures two-way communication within power systems. There is a drastic increase in energy dependence from very minute to huge activity especially the cloud-based data centers and Internet of Things (IoT), which have a dire need of availability, reliability, and efficiency of power systems. S-DPS has demonstrated its effectiveness and efficiency in terms of Detection Rate (DR) and minimal CPU/RAM utilization, considering DDoS protection focusing smurf attacks, socket stress attacks, and SYN flood attacks. Moreover, the employment of a dynamic threshold mechanism is making detection process adaptive to the changing network conditions. The approach offers the best deployment location of defense mechanism due to the centralized control of network.

It provides early detection mechanism with mitigation of anomaly in real time. The proposed approach, i.e., Software Defined Networking-based DDoS Protection System (S-DPS), is efficiently addressing these issues by employing light-weight Tsallis entropy-based defense mechanisms using SDN environment. Recently, emerging Software Defined Networking- (SDN-) based approaches are proposed by researchers for SG’s DDoS protection however, they are only able to protect against flooding attacks and are dependent on static thresholds. Existing security technologies, besides their efficiency, are not adequate to cater to DDoS security in Smart Grids (SGs) due to highly distributed and dynamic network environments. Information Communication Technology (ICT) environment in traditional power grids makes detection and mitigation of DDoS attacks more challenging.

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