A comparative assessment of machine learning algorithms in the IoT-based network intrusion detection systems-Reference-Cited by-同舟云学术

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A comparative assessment of machine learning algorithms in the IoT-based network intrusion detection systems

Published:2024-06 Issue: Volume:11 Page:100478
ISSN:2772-6622
Container-title:Decision Analytics Journal
language:en
Short-container-title:Decision Analytics Journal

Author:

Samantaray Milan^ORCID,Barik Ram Chandra^ORCID,Biswal Anil Kumar^ORCID

Publisher

Elsevier BV

Reference49 articles.

1. Performance analysis of machine learning algorithms in intrusion detection system: A review;Saranya;Procedia Comput. Sci.,2020

2. A machine learning-based intrusion detection for detecting internet of things network attacks;Saheed;Alex. Eng. J.,2022

3. Artificial intelligence for detection, estimation, and compensation of malicious attacks in nonlinear cyber-physical systems and industrial IoT;Farivar;IEEE Trans. Ind. Inform.,2019

4. Machine learning based intrusion detection systems for IoT applications;Verma;Wirel. Pers. Commun.,2020

5. An analysis of the KDD99 and UNSW-NB15 datasets for the intrusion detection system;Al-Daweri;Symmetry,2020

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