A Software Defined Networking Architecture for DDoS-Attack in the storage of Multi-Microgrids

Elaheh Taherian-Fard, Taher Niknam, Ramin Sahebi, Mahshid Javidsharifi, Abdollah Kavousi-Fard, Jamshid Aghaei

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3 Citations (Scopus)
10 Downloads (Pure)


Multi-microgrid systems can improve the resiliency and reliability of the power system network. Secure communication for multi-microgrid operation is a crucial issue that needs to be investigated. This paper proposes a multi-controller software defined networking (SDN) architecture based on fog servers in multi-microgrids to improve the electricity grid security, monitoring and controlling. The proposed architecture defines the support vector machine (SVM) to detect the distributed denial of service (DDoS) attack in the storage of microgrids. The information of local SDN controllers on fog servers is managed and supervised by the master controller placed in the application plane properly. Based on the results of attack detection, the power scheduling problem is solved and send a command to change the status of tie and sectionalize switches. The optimization application on the cloud server implements the modified imperialist competitive algorithm (MICA) to solve this stochastic mixed-integer nonlinear problem. The effective performance of the proposed approach using an SDN-based architecture is evaluated through applying it on a multi-microgrid based on IEEE 33-bus radial distribution system with three microgrids in simulation results.

Original languageEnglish
JournalIEEE Access
Pages (from-to)83802-83812
Number of pages11
Publication statusPublished - 2022

Bibliographical note

Publisher Copyright:


  • Cloud computing
  • cloud-fog computing
  • Computer architecture
  • Denial-of-service attack
  • distributed denial of service attack (DDoS)
  • Edge computing
  • Microgrids
  • Multi-microgrid
  • Optimization
  • optimization algorithm
  • Reliability
  • Servers
  • software defined networking
  • Software defined networking
  • Support vector machines


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