Intrusion Detection for Blockchain‐Based Internet of Things Using Gaussian Mixture–Fully Convolutional Variational Autoencoder Model

ABSTRACT The Internet of Things (IoT) is an evolving paradigm that has dramatically transformed the traditional style of living into a smart lifestyle. IoT devices have recently attained great attention due to their wide range of applications in various sectors, such as healthcare, smart home device...

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Vydáno v:	International journal of network management Ročník 34; číslo 6
Hlavní autoři:	Om Kumar, C. U., Marappan, Suguna, Murugeshan, Bhavadharini, Beaulah, P. Mercy Rajaselvi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Chichester Wiley Subscription Services, Inc 01.11.2024
Témata:	Blockchain Cybersecurity Datasets Deep learning improved proof of work (I‐PoW) Internet of Things Internet of Things (IoT) intrusion detection system (IDS) Intrusion detection systems Mixtures preprocessing Smart buildings variational autoencoder (VAE)
ISSN:	1055-7148, 1099-1190
On-line přístup:	Získat plný text
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