An Intrusion Detection System for the Internet of Things Based on Machine Learning: Review and Challenges

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: Ahmed Adnan, Abdullah Muhammed, Abdul Azim Abd Ghani, Azizol Abdullah, Fahrul Hakim
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Symmetry
Subjects:
intrusion detection system
concept drift
high dimensionality
computational complexity
Online Access:https://www.mdpi.com/2073-8994/13/6/1011

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https://www.mdpi.com/2073-8994/13/6/1011

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