Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach
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) leveraging Particle Swarm Optimization...
Saved in:
Main Authors: | Shaikh Afnan Birahim, Avijit Paul, Fahmida Rahman, Yamina Islam, Tonmoy Roy, Mohammad Asif Hasan, Fariha Haque, Muhammad E. H. Chowdhury |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10836702/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Study on the Application of Explainable AI on Ensemble Models for Predictive Analysis of Chronic Kidney Disease
by: K. M. Tawsik Jawad, et al.
Published: (2025-01-01) -
Enhancing aviation control security through ADS-B injection detection using ensemble meta-learning models with Explainable AI
by: Vajratiya Vajrobol, et al.
Published: (2025-01-01) -
DATA ACQUISITION FOR DIGITISATION IN THE PARAFFIN CANDLE PRODUCTION PROCESS
by: Giedrius Blažiūnas
Published: (2023-07-01) -
A Deep Learning-Based Approach for the Detection of Various Internet of Things Intrusion Attacks Through Optical Networks
by: Nouman Imtiaz, et al.
Published: (2025-01-01) -
An Ensemble Learning Based Intrusion Detection Model for Industrial IoT Security
by: Mouaad Mohy-Eddine, et al.
Published: (2023-09-01)