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...

書誌詳細
主要な著者:	Monika Roopak, Simon Parkinson, Gui Yun Tian, Yachao Ran, Saad Khan, Balasubramaniyan Chandrasekaran
フォーマット:	論文
言語:	English
出版事項:	Wiley 2024-09-01
シリーズ:	IET Networks
主題:	computer network security Internet of Things unsupervised learning
オンライン･アクセス:	https://doi.org/10.1049/ntw2.12134

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