An unsupervised approach for the detection of zero‐day distributed denial of service attacks in Internet of Things networks

An unsupervised approach for the detection of zero‐day distributed denial of service attacks in Internet of Things networks

Abstract The authors introduce an unsupervised Intrusion Detection System designed to detect zero‐day distributed denial of service (DDoS) attacks in Internet of Things (IoT) networks. This system can identify anomalies without needing prior knowledge or training on attack information. Zero‐day atta...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser:	Monika Roopak, Simon Parkinson, Gui Yun Tian, Yachao Ran, Saad Khan, Balasubramaniyan Chandrasekaran
Format:	Artikel
Sprache:	English
Veröffentlicht:	Wiley 2024-09-01
Schriftenreihe:	IET Networks
Schlagworte:	computer network security Internet of Things unsupervised learning
Online Zugang:	https://doi.org/10.1049/ntw2.12134

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