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...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Multidisciplinary Digital Publishing Institute
2021
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| Online Access: | http://psasir.upm.edu.my/id/eprint/95865/ |