Scalable machine learning-based intrusion detection system for IoT-enabled smart cities

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Scalable machine learning-based intrusion detection system for IoT-enabled smart cities

Given a scale expansion of Internet of Things for sustainable resource management in smart cities, proper design of an intrusion detection system (IDS) is critical to safeguard the future network infrastructure from intruders. With the growth of connected things, the most-widely used centralized (cl...

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Bibliographic Details
Main Authors:	Rahman, Md. Arafatur, Asyhari, A. Taufiq, Leong, L. S., Satrya, G. B., Tao, M. Hai, Mohamad Fadli, Zolkipli
Format:	Article
Language:	English English
Published:	Elsevier Ltd 2020
Subjects:	QA76 Computer software TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/28942/ http://umpir.ump.edu.my/id/eprint/28942/1/Scalable%20machine%20learning-based%20intrusion%20detection%20system%20for%20IoT_FULL.pdf http://umpir.ump.edu.my/id/eprint/28942/2/Scalable%20machine%20learning-based%20intrusion%20detection%20system%20for%20IoT.pdf

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