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...

Полное описание

Библиографические подробности
Главные авторы:	Monika Roopak, Simon Parkinson, Gui Yun Tian, Yachao Ran, Saad Khan, Balasubramaniyan Chandrasekaran
Формат:	Статья
Язык:	English
Опубликовано:	Wiley 2024-09-01
Серии:	IET Networks
Предметы:	computer network security Internet of Things unsupervised learning
Online-ссылка:	https://doi.org/10.1049/ntw2.12134

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