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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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Shaikh Afnan Birahim (22303750) (author)
مؤلفون آخرون:	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)
منشور في:	2025
الموضوعات:	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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