This research addresses the pressing challenge of intrusion detection and prevention in
Wireless Sensor Networks (WSNs), offering an innovative and comprehensive approach …

Wireless sensor Networks (WSN) have numerous applications in today's world. The security
threat, on the other hand, is a major concern in WSN. Incorporating an intrusion detection …

The dramatic increase in the computational facilities integrated with the explainable
machine learning algorithms allows us to do fast intrusion detection and prevention at …

In this era, plenty of wireless devices are being used with the support of WI-FI (Wireless
Fidelity) and need to be maintained and authorized. Wireless Sensor Networks (WSN), a …

Momentous increase in the popularity of explainable machine learning models coupled with
the dramatic increase in the use of synthetic data facilitates us to develop a cost-efficient …

This research presents a novel approach to enhancing the security of Wireless Sensor
Networks (WSNs) through the integration of Particle Swarm Optimization (PSO) with an …

Abstract Wireless Sensor Networks (WSN) has a wide range of opportunities and can be
applied to almost every part of our life. Intrusion detection and monitoring across disputed …

Abstract Wireless Sensor Network (WSN) communication encounters security vulnerabilities,
particularly with network traffic being susceptible to attacks during routing. The effective use …

This survey provides a detailed examination of the integration of machine learning (ML)
techniques in intrusion detection systems (IDS) tailored for wireless sensor networks …

Drastic advancement in computing technology and the dramatic increase in the usage of
explainable machine learning algorithms provide a promising platform for developing robust …