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

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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Bibliographic Details
Main Authors: Vivek Kumar Pandey, Shiv Prakash, Tarun Kumar Gupta, Priyanshu Sinha, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang, Sabeen Tahir, Sheikh Tahir Bakhsh
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Wireless sensor networks (WSNs)
Intrusion detection
WSN-DS
Tabu search
Random forest
Optimization
Online Access:https://doi.org/10.1038/s41598-025-03498-3
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https://doi.org/10.1038/s41598-025-03498-3

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