@article{36dc680f7ab94b9bbee1f3c09dc48975,
title = "Scalable machine learning-based intrusion detection system for IoT-enabled smart cities",
keywords = "Distributed, Feature extraction, Feature selection, IDS, Intrusion detection, IoT, Machine learning, Semi-distributed",
author = "Rahman, \{Md Arafatur\} and Asyhari, \{A. Taufiq\} and Leong, \{L. S.\} and Satrya, \{G. B.\} and \{Hai Tao\}, M. and Zolkipli, \{M. F.\}",
note = "Funding Information: This work was partially supported by a Research Grant ( RDU192202 ), which is funded by University Malaysia Pahang . Publisher Copyright: {\textcopyright} 2020 Elsevier Ltd",
year = "2020",
month = oct,
doi = "10.1016/j.scs.2020.102324",
language = "English",
volume = "61",
journal = "Sustainable Cities and Society",
issn = "2210-6707",
publisher = "Elsevier",
}