Detecting IoT Anomalies Using Fuzzy Subspace Clustering Algorithms

Detecting IoT Anomalies Using Fuzzy Subspace Clustering Algorithms

There are many applications of anomaly detection in the Internet of Things domain. IoT technology consists of a large number of interconnecting digital devices not only generating huge data continuously but also making real-time computations. Since IoT devices are highly exposed due to the Internet,...

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Bibliographic Details
Main Authors: Mohamed Shenify, Fokrul Alom Mazarbhuiya, A. S. Wungreiphi
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
anomaly detection
information system
high-dimensional data
dominance relation
fuzzy clustering method
CORE of attribute set
Online Access:https://www.mdpi.com/2076-3417/14/3/1264

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https://www.mdpi.com/2076-3417/14/3/1264

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