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    Towards Machine Learning Based Intrusion Detection in IoT Networks

    Nahida Islam1, Fahiba Farhin1, Ishrat Sultana1, M. Shamim Kaiser1, Md. Sazzadur Rahman1, Mufti Mahmud2, A. S. M. Sanwar Hosen3, Gi Hwan Cho3,*

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1801-1821, 2021, DOI:10.32604/cmc.2021.018466

    Abstract The Internet of Things (IoT) integrates billions of self-organized and heterogeneous smart nodes that communicate with each other without human intervention. In recent years, IoT based systems have been used in improving the experience in many applications including healthcare, agriculture, supply chain, education, transportation and traffic monitoring, utility services etc. However, node heterogeneity raised security concern which is one of the most complicated issues on the IoT. Implementing security measures, including encryption, access control, and authentication for the IoT devices are ineffective in achieving security. In this paper, we identified various types of IoT threats and shallow (such as decision… More >

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