Edge computing intelligence using robust feature selection for network traffic classification in internet-of-things

• Main Authors: Mohammed, Bushra, Hamdan, Mosab, Bassi, Joseph Stephen, Jamil, Haitham A., Khan, Suleman, Elhigazi, Abdallah, Rawat, Danda B., Ismail, Ismahani, Marsono, Muhammad Nadzir
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/91678/1/MuhammadNadzirMarsono2020_EdgeComputingIntelligenceUsingRobust.pdf; http://eprints.utm.my/id/eprint/91678/; http://dx.doi.org/10.1109/ACCESS.2020.3037492

Internet-of-Things (IoT) devices are massively interconnected, which generates a massive amount of network traffic. The concept of edge computing brings a new paradigm to monitor and manage network traffic at the network's edge. Network traffic classification is a critical task to monitor and i...