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

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

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...

תיאור מלא

מידע ביבליוגרפי
Main Authors: Mutaz Hamed Hussien Khairi, Sharifah Hafizah Syed Ariffin, Nurul Mu'azzah Abdul Latiff, Kamaludin Mohamad Yusof, Mohamed Khalafalla Hassan, Fahad Taha Al-Dhief, Mosab Hamda, Suleman Khan, Muzaffar Hamzah
פורמט: Article
שפה:English
English
יצא לאור: Institute of Electrical and Electronics Engineers Inc. 2021
נושאים:
QA Mathematics
TJ Mechanical engineering and machinery
גישה מקוונת:https://eprints.ums.edu.my/id/eprint/29969/1/Detection%20and%20classification%20of%20conflict%20flows%20in%20SDN%20using%20machine%20learning%20algorithms-Abstract.pdf
https://eprints.ums.edu.my/id/eprint/29969/2/Detection%20and%20classification%20of%20conflict%20flows%20in%20SDN%20using%20machine%20learning%20algorithms.pdf

אינטרנט

https://eprints.ums.edu.my/id/eprint/29969/1/Detection%20and%20classification%20of%20conflict%20flows%20in%20SDN%20using%20machine%20learning%20algorithms-Abstract.pdf
https://eprints.ums.edu.my/id/eprint/29969/2/Detection%20and%20classification%20of%20conflict%20flows%20in%20SDN%20using%20machine%20learning%20algorithms.pdf

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