Impact of Machine Learning Algorithms in Intrusion Detection Systems for Internet of Things
subject: Internet of Things; Intrusion Detection System; Machine Learning
description: The importance of security aspects is increased recently due to the enormous usage of IoT devices. Securing the system from all sorts of vulnerabilities is inevitable to use IoT applications. Intrusion detection systems are power mechanism which provides this service. The introduction of artificial intelligence into intrusion detection systems can further enhance its power. This paper is an attempt to understand the impact of machine learning algorithms in attack detection. Using the UNSW-NB 15 dataset, the impact of different machine learning algorithms is assessed. 2021 IEEE.
creator: Jose J.; Jose D.V.; Rao K.S.; Janz J.
source: 10th International Conference on Advances in Computing and Communications, ICACC 2021
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2021-01-01
rights: Restricted Access
relation: ISBN: 978-166543919-0
format: Online
language: English
type: Conference paper
coverage: Jose J., CHRIST University, Department of Computer Science, Bangalore, India; Jose D.V., CHRIST University, Department of Computer Science, Bangalore, India; Rao K.S., CHRIST University, Department of Computer Science, Bangalore, India; Janz J., CHRIST University, Department of Computer Science, Bangalore, India