Industrial Internet of Things Cyber Threats Detection Through Deep Feature Learning and Stacked Sparse Autoencoder Based Classification

ABSTRACT In recent times, the industrial system has integrated with industrial Internet of Things (IoT) applications to enable the ease of production process and ensure worker safety. Security is a major concern in the industrial Internet of Things (IIoT) environment owing to the distributed nature...

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Vydané v:	Transactions on emerging telecommunications technologies Ročník 36; číslo 9
Hlavní autori:	Vijay Anand, R., Magesh, G., Alagiri, I., Brahmam, Madala Guru, Senthil Kumar, C., Kesavan, M., Abdullah, Azween Bin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Chichester, UK John Wiley & Sons, Ltd 01.09.2025
Predmet:	anomaly detection bi‐directional LSTM deep learning industrial internet of things particle swarm optimization probabilistic neural network sparse autoencoder
ISSN:	2161-3915, 2161-3915
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