Machine learning based intrusion detection framework for detecting security attacks in internet of things

Machine learning based intrusion detection framework for detecting security attacks in internet of things

Abstract The Internet of Things (IoT) consist of a network of interconnected nodes constantly communicating, exchanging, and transferring data over various network protocols. Intrusion detection systems using deep learning are a common method used for providing security in IoT. However, traditional...

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Bibliographic Details
Main Authors: V. Kantharaju, H. Suresh, M. Niranjanamurthy, Syed Immamul Ansarullah, Farhan Amin, Amerah Alabrah
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Intrusion detection
Internet of things
Data acquisition
Security
WSOA
Online Access:https://doi.org/10.1038/s41598-024-81535-3
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https://doi.org/10.1038/s41598-024-81535-3

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