DUdetector: A dual-granularity unsupervised model for network anomaly detection

Internet of Things (IoT) devices are often used as springboards for network intrusion due to the open nature of IoT protocol stacks that enable automatic inter-connection and data sharing among devices, so it is critical to develop network anomaly detection algorithms that can be deployed at importa...

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Vydané v:	Computer networks (Amsterdam, Netherlands : 1999) Ročník 257; s. 110937
Hlavní autori:	Geng, Haijun, Ma, Qi, Chi, Haotian, Zhang, Zhi, Yang, Jing, Yin, Xia
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.02.2025
Predmet:	AutoEncoder Dual-granularity Internet of things attack Transformer Unsupervised anomaly detection Transformer Dual-granularity Internet of things attack AutoEncoder Unsupervised anomaly detection
ISSN:	1389-1286
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