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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Monika Roopak, Simon Parkinson, Gui Yun Tian, Yachao Ran, Saad Khan, Balasubramaniyan Chandrasekaran
Format:	Artykuł
Język:	English
Wydane:	Wiley 2024-09-01
Seria:	IET Networks
Hasła przedmiotowe:	computer network security Internet of Things unsupervised learning
Dostęp online:	https://doi.org/10.1049/ntw2.12134

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