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...

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Detalles Bibliográficos
Main Authors: Monika Roopak, Simon Parkinson, Gui Yun Tian, Yachao Ran, Saad Khan, Balasubramaniyan Chandrasekaran
Formato: Artigo
Idioma:English
Publicado: Wiley 2024-09-01
Series:IET Networks
Subjects:
computer network security
Internet of Things
unsupervised learning
Acceso en liña:https://doi.org/10.1049/ntw2.12134

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