Machine learning attack detection based-on stochastic classifier methods for enhancing of routing security in wireless sensor networks

Wireless Sensor Networks (WSNs) are vulnerable to attacks during data transmission, and many techniques have been proposed to detect and secure routing data. In this paper, we introduce a novel stochastic predictive machine learning approach designed to discern untrustworthy events and unreliable ro...

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Vydané v:	Ad hoc networks Ročník 163; s. 103581
Hlavní autori:	Affane M., Anselme R., Satori, Hassan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.10.2024
Predmet:	Artificial intelligence Dimensionality reduction Gaussian mixture models Hidden markov models Machine learning Secure routing algorithm Stochastic attacks detection system Wireless sensor networks (WSNs) Dimensionality reduction Secure routing algorithm Machine learning Hidden markov models Gaussian mixture models Stochastic attacks detection system Artificial intelligence Wireless sensor networks (WSNs)
ISSN:	1570-8705
On-line prístup:	Získať plný text
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