A hybrid approach using support vector machine rule-based system: detecting cyber threats in internet of things

A hybrid approach using support vector machine rule-based system: detecting cyber threats in internet of things

Abstract While the proliferation of the Internet of Things (IoT) has revolutionized several industries, it has also created severe data security concerns. The security of these network devices and the dependability of IoT networks depend on efficient threat detection. Device heterogeneity, computing...

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Bibliographic Details
Main Authors: M. Wasim Abbas Ashraf, Arvind R. Singh, A. Pandian, Rajkumar Singh Rathore, Mohit Bajaj, Ievgen Zaitsev
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Internet of things
Cyber threats detection
Integrating
Machine learning
Anomaly Detection
Heuristic algorithms
Online Access:https://doi.org/10.1038/s41598-024-78976-1
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https://doi.org/10.1038/s41598-024-78976-1

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