A Software Defined Networking Architecture for DDoS-Attack in the Storage of Multimicrogrids
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 serv...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9852226/ |
| _version_ | 1798039928771182592 |
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| author | Elaheh Taherian-Fard Taher Niknam Ramin Sahebi Mahshid Javidsharifi Abdollah Kavousi-Fard Jamshid Aghaei |
| author_facet | Elaheh Taherian-Fard Taher Niknam Ramin Sahebi Mahshid Javidsharifi Abdollah Kavousi-Fard Jamshid Aghaei |
| author_sort | Elaheh Taherian-Fard |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T22:00:28Z |
| format | Article |
| id | doaj.art-7c76fdc0dcd34a45b176c76cbc5dedde |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T22:00:28Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7c76fdc0dcd34a45b176c76cbc5dedde2022-12-22T04:00:57ZengIEEEIEEE Access2169-35362022-01-0110838028381210.1109/ACCESS.2022.31972839852226A Software Defined Networking Architecture for DDoS-Attack in the Storage of MultimicrogridsElaheh Taherian-Fard0Taher Niknam1https://orcid.org/0000-0002-9391-6901Ramin Sahebi2Mahshid Javidsharifi3Abdollah Kavousi-Fard4Jamshid Aghaei5https://orcid.org/0000-0002-5254-9148Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, IranDepartment of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, IranDepartment of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, IranDepartment of AAU Energy, Aalborg University, Aalborg, DenmarkDepartment of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, IranDepartment of Electrical Engineering, School of Energy Systems, Lappeenranta-Lahti University of Technology, Lappeenranta, FinlandMulti-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.https://ieeexplore.ieee.org/document/9852226/Multi-microgridsoftware defined networkingcloud-fog computingdistributed denial of service attack (DDoS)optimization algorithm |
| spellingShingle | Elaheh Taherian-Fard Taher Niknam Ramin Sahebi Mahshid Javidsharifi Abdollah Kavousi-Fard Jamshid Aghaei A Software Defined Networking Architecture for DDoS-Attack in the Storage of Multimicrogrids IEEE Access Multi-microgrid software defined networking cloud-fog computing distributed denial of service attack (DDoS) optimization algorithm |
| title | A Software Defined Networking Architecture for DDoS-Attack in the Storage of Multimicrogrids |
| title_full | A Software Defined Networking Architecture for DDoS-Attack in the Storage of Multimicrogrids |
| title_fullStr | A Software Defined Networking Architecture for DDoS-Attack in the Storage of Multimicrogrids |
| title_full_unstemmed | A Software Defined Networking Architecture for DDoS-Attack in the Storage of Multimicrogrids |
| title_short | A Software Defined Networking Architecture for DDoS-Attack in the Storage of Multimicrogrids |
| title_sort | software defined networking architecture for ddos attack in the storage of multimicrogrids |
| topic | Multi-microgrid software defined networking cloud-fog computing distributed denial of service attack (DDoS) optimization algorithm |
| url | https://ieeexplore.ieee.org/document/9852226/ |
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