Improving Reliability for Detecting Anomalies in the MQTT Network by Applying Correlation Analysis for Feature Selection Using Machine Learning Techniques

Improving Reliability for Detecting Anomalies in the MQTT Network by Applying Correlation Analysis for Feature Selection Using Machine Learning Techniques

Anomaly detection (AD) has captured a significant amount of focus from the research field in recent years, with the rise of the Internet of Things (IoT) application. Anomalies, often known as outliers, are defined as the discovery of anomalous occurrences or observations that differ considerably fro...

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Bibliographic Details
Main Authors: Imran, Megat Farez Azril Zuhairi, Syed Mubashir Ali, Zeeshan Shahid, Muhammad Mansoor Alam, Mazliham Mohd Su’ud
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Applied Sciences
Subjects:
Internet of Things
dataset
MQTT
machine learning
detection system
artificial intelligence
Online Access:https://www.mdpi.com/2076-3417/13/11/6753

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