TY - JOUR
T1 - A Software Defined Networking Architecture for DDoS-Attack in the storage of Multi-Microgrids
AU - Taherian-Fard, Elaheh
AU - Niknam, Taher
AU - Sahebi, Ramin
AU - Javidsharifi, Mahshid
AU - Kavousi-Fard, Abdollah
AU - Aghaei, Jamshid
N1 - Publisher Copyright:
Author
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Cloud computing
KW - cloud-fog computing
KW - Computer architecture
KW - Denial-of-service attack
KW - distributed denial of service attack (DDoS)
KW - Edge computing
KW - Microgrids
KW - Multi-microgrid
KW - Optimization
KW - optimization algorithm
KW - Reliability
KW - Servers
KW - software defined networking
KW - Software defined networking
KW - Support vector machines
UR - http://www.scopus.com/inward/record.url?scp=85136138639&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2022.3197283
DO - 10.1109/ACCESS.2022.3197283
M3 - Journal article
AN - SCOPUS:85136138639
SN - 2169-3536
VL - 10
SP - 83802
EP - 83812
JO - IEEE Access
JF - IEEE Access
ER -