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    ARTICLE

    An Efficient Internet Traffic Classification System Using Deep Learning for IoT

    Muhammad Basit Umair1, Zeshan Iqbal1, Muhammad Bilal2, Jamel Nebhen4, Tarik Adnan Almohamad3, Raja Majid Mehmood5,*

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 407-422, 2022, DOI:10.32604/cmc.2022.020727 - 03 November 2021

    Abstract Internet of Things (IoT) defines a network of devices connected to the internet and sharing a massive amount of data between each other and a central location. These IoT devices are connected to a network therefore prone to attacks. Various management tasks and network operations such as security, intrusion detection, Quality-of-Service provisioning, performance monitoring, resource provisioning, and traffic engineering require traffic classification. Due to the ineffectiveness of traditional classification schemes, such as port-based and payload-based methods, researchers proposed machine learning-based traffic classification systems based on shallow neural networks. Furthermore, machine learning-based models incline to misclassify… More >

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