Stochastic Machine Learning Based Attacks Detection System in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) play a crucial role in diverse applications, encompassing environmental monitoring, healthcare, and industrial automation. However, these networks are susceptible to various security threats, underscoring the need for robust attack detection systems. In this paper, we...

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Vydané v:	Journal of network and systems management Ročník 32; číslo 1; s. 17
Hlavní autori:	Moundounga, Anselme Russel Affane, Satori, Hassan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.03.2024 Springer Nature B.V
Predmet:	Accuracy Amalgamation Automation Communications Engineering Comparative analysis Computer Communication Networks Computer Science Computer Systems Organization and Communication Networks Efficacy Environmental monitoring Experiments Grammatical aspect Health care Health services Industrial automation Information Systems and Communication Service Iterative methods Machine learning Markov analysis Markov chains Networks Operations Research/Decision Theory Principal components analysis Probabilistic models Security Wireless communication systems Wireless sensor networks Dimensionality reduction Secure routing algorithm Hidden Markov models Machine learning Gaussian mixture models Stochastic attacks detection system Wireless sensor networks (WSNs)
ISSN:	1064-7570, 1573-7705
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