Machine Learning Algorithms to Defend Against Routing Attacks on the Internet of Things: A Systematic Literature Review

Machine Learning Algorithms to Defend Against Routing Attacks on the Internet of Things: A Systematic Literature Review

The Internet of Things (IoT) has become increasingly popular, opening vast application possibilities in different fields including smart cities, healthcare, manufacturing, agriculture, etc. IoT comprises resource-constrained devices deployed in Low Power and Lossy Networks (LLNs). To satisfy the rou...

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Bibliographic Details
Main Authors: Lanka Chris Sejaphala, Vusimuzi Malele, Francis Lugayizi
Format: Article
Language:English
Published: Informatics Department, Faculty of Computer Science Bina Darma University 2024-09-01
Series:Journal of Information Systems and Informatics
Subjects:
rpl
iot
lnns
machine learning
routing attacks
Online Access:https://journal-isi.org/index.php/isi/article/view/828
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