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S-DPS: An SDN-Based DDoS Protection System for Smart Grids
Author(s) -
Hassan Mahmood,
Danish Mahmood,
Qaisar Shaheen,
Rizwan Akhtar,
Changda Wang
Publication year - 2021
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0114
pISSN - 1939-0122
DOI - 10.1155/2021/6629098
Subject(s) - denial of service attack , computer science , software defined networking , software deployment , computer security , flooding (psychology) , computer network , network security , anomaly detection , the internet , psychology , world wide web , psychotherapist , data mining , operating system
Information Communication Technology (ICT) environment in traditional power grids makes detection andmitigation of DDoS attacks more challenging. 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. 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. -e 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. It provides early detectionmechanismwithmitigation of anomaly in real time.-e approach offers the best deployment location of defense mechanism due to the centralized control of network.Moreover, the employment of a dynamic thresholdmechanism ismaking detection process adaptive to the changing network conditions. 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.

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