An intrusion detection system for the internet of things based on machine learning: review and challenges

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An intrusion detection system for the internet of things based on machine learning: review and challenges

An intrusion detection system (IDS) is an active research topic and is regarded as one of the important applications of machine learning. An IDS is a classifier that predicts the class of input records associated with certain types of attacks. In this article, we present a review of IDSs from the pe...

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Bibliographic Details
Main Authors:	Adnan, Ahmed, Muhammed, Abdullah, Abd Ghani, Abdul Azim, Abdullah, Azizol, Hakim, Fahrul
Format:	Article
Published:	Multidisciplinary Digital Publishing Institute 2021
Online Access:	http://psasir.upm.edu.my/id/eprint/95865/

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