@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",
}