Detection and classification of conflict flows in SDN using machine learning algorithms

• Main Authors: Khairi, Mutaz Hamed Hussien, Syed Ariffin, Sharifah Hafizah, Abdul Latiff, Nurul Mu’Azzah, Mohamad Yusof, Kamaludin, Hassan, Mohamed Khalafalla, Al-Dhief, Fahad Taha, Hamdan, Mosab, Khan, Suleman, Hamzah, Muzaffar
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/94053/1/MutazHamedHussien2021_DetectionandClassificationofConflictFlows.pdf; http://eprints.utm.my/id/eprint/94053/; http://dx.doi.org/10.1109/ACCESS.2021.3081629

Software-Defined Networking (SDN) is a new type of technology that embraces high flexibility and adaptability. The applications in SDN have the ability to manage and control networks while ensuring load balancing, access control, and routing. These are considered the most significant benefits of SDN...