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

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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