Hybrid Model for Novel Attack Detection Using a Cluster-Based Machine Learning Classification Approach for the Internet of Things (IoT)

Hybrid Model for Novel Attack Detection Using a Cluster-Based Machine Learning Classification Approach for the Internet of Things (IoT)

To combat the growing danger of zero-day attacks on IoT networks, this study introduces a Cluster-Based Classification (CBC) method. Security vulnerabilities have become more apparent with the growth of IoT devices, calling for new approaches to identify unique threats quickly. The hybrid CBC approa...

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Bibliographic Details
Main Authors: Naveed Ahmed, Md Asri Ngadi, Abdulaleem Ali Almazroi, Nouf Atiahallah Alghanmi
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Future Internet
Subjects:
IoT security
novel attack detection
cluster-based classification
Online Access:https://www.mdpi.com/1999-5903/17/6/251
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https://www.mdpi.com/1999-5903/17/6/251

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