A comparative study of supervised Machine Learning classifiers for Intrusion Detection in Internet of Things-Reference-Cited by-同舟云学术

A comparative study of supervised Machine Learning classifiers for Intrusion Detection in Internet of Things

Published:2023 Issue: Volume:218 Page:2049-2057
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Saran Naveen,Kesswani Nishtha

Publisher

Elsevier BV

Subject

General Engineering

Reference28 articles.

1. Choudhary, Sarika & Kesswani, Nishtha. (2019). Cluster-Based Intrusion Detection Method for Internet of Things. 1-8. 10.1109/AICCSA47632.2019.9035319.

2. CRIDS: Correlation and Regression-Based Network Intrusion Detection System for IoT;Choudhary;SN Computer Science,2021

3. Hybrid intrusion detection system for wireless IoT networks using deep learning algorithm;Simon;Computers and Electrical Engineering,2022

4. SmartGuard: an IoT-based intrusion detection system for smart homes;Kesswani;International Journal of Intelligent Information and Database Systems,2020

5. A Two-Stage Intrusion Detection System (TIDS) for Internet of Things;Vishwakarma;Advances in Deep Learning, Artificial Intelligence and Robotics,2022

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