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

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

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...