Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach

<p dir="ltr">Wireless Sensor Networks (WSN) play a pivotal role in various domains, including monitoring, security, and data transmission. However, their susceptibility to intrusions poses a significant challenge. This paper proposes a novel Intrusion Detection System (IDS) leveragin...

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Bibliographic Details
Main Author:	Shaikh Afnan Birahim (22303750) (author)
Other Authors:	Avijit Paul (22303753) (author), Fahmida Rahman (7517585) (author), Yamina Islam (22303756) (author), Tonmoy Roy (21485527) (author), Mohammad Asif Hasan (22303759) (author), Fariha Haque (21485518) (author), Muhammad E. H. Chowdhury (14150526) (author)
Published:	2025
Subjects:	Information and computing sciences Artificial intelligence Cybersecurity and privacy Machine learning Intrusion detection system wireless sensor networks particle swarm optimization ensemble machine learning explainable AI streamlit web application Wireless sensor networks Accuracy Intrusion detection Computational modeling Adaptation models Random forests Nearest neighbor methods Monitoring Feature extraction Radio frequency
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Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach

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