Enhancing intrusion detection in wireless sensor networks using a Tabu search based optimized random forest

Abstract Intrusion detection in Wireless Sensor Networks (WSNs) is an emerging area of research, given their extensive use in sensitive fields like military surveillance, healthcare, environmental monitoring, and smart cities. However, WSNs face several security challenges due to their limited compu...

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Auteurs principaux:	Vivek Kumar Pandey, Shiv Prakash, Tarun Kumar Gupta, Priyanshu Sinha, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang, Sabeen Tahir, Sheikh Tahir Bakhsh
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2025-05-01
Collection:	Scientific Reports
Sujets:	Wireless sensor networks (WSNs) Intrusion detection WSN-DS Tabu search Random forest Optimization
Accès en ligne:	https://doi.org/10.1038/s41598-025-03498-3
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