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ANALYZING SUPERVISED LEARNING MODELS FOR INTRUSION DETECTION: TOWARDS ROBUST WIRELESS SENSOR NETWORK
Journal: International Journal of Advanced Research (Vol.13, No. 07)Publication Date: 2025-07-18
Authors : Arunendar Kumar Soni Vinay Kumar Dwivedi; Akhilesh A. Waoo;
Page : 500-504
Keywords : Wireless Sensor Networks (WSNs) Intrusion Detection Systems (IDS) Machine Learning Decision Tree Random Forest XGBoost NSL-KDD Semi-Supervised Learning;
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Abstract
The decentralized and resource-constrained nature of Wireless Sensor Networks (WSNs) makes them susceptible to a range of cyberthreats, despite their growing deployment in critical infrastructure.
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Last modified: 2025-08-12 19:02:40