DDoS Intrusion Detection with Ensemble Stream Mining for IoT Smart Sensing Devices
Date
2023
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Publisher
Springer Science and Business Media Deutschland GmbH
Abstract
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Keywords
And internet of things, Data stream mining, Ensemble active learning, Mirai dataset, Prequential learning, Security and privacy, Smart city, Wireless sensors
Citation
Ghazal, T. M., Al-Dmour, N. A., Said, R. A., Omidvar, A., Khan, U. Y., Soomro, T. R., Alzoubi, H. M., Alshurideh, M., Abdellatif, T. M. & Ali, L. (2023). DDoS Intrusion Detection with Ensemble Stream Mining for IoT Smart Sensing Devices. In M. Alshurideh, B.H. Al Kurdi, R. Masa’deh, H.M. Alzoubi, & S. Salloum (Eds.) The Effect of Information Technology on Business and Marketing Intelligence Systems. Studies in Computational Intelligence, 1056 (pp. 1987-2012). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-12382-5_109