We present a study of using game theory for protecting wireless sensor networks (WSNs)
from selfish behavior or malicious nodes. Due to scalability, low complexity and …

Anomaly detection has numerous applications in diverse fields. For example, it has been
widely used for discovering network intrusions and malicious events. It has also been used …

Wireless Sensor Networks (WSN) have become increasingly one of the hottest research
areas in computer science due to their wide range of applications including critical military …

As the digital landscape expands rapidly due to technological advancements, cybersecurity
concerns have become more prevalent. Intrusion Detection Systems (IDSs), which are …

Recently, wireless sensor networks (WSNs) have been deployed for a wide variety of
applications, including military sensing and tracking, patient status monitoring, traffic flow …

Wireless Sensor Network (WSN) is a large scale network with from dozens to thousands tiny
devices. Using fields of WSNs (military, health, smart home eg) has a large-scale and its …

The number of Wireless sensor network (WSN) deployments have been growing so
exponentially over the recent years. Due to their small size and cost-effective, WSN are …

An Intrusion detection system is an essential security tool for protecting services and
infrastructures of wireless sensor networks from unseen and unpredictable attacks. Few …

Wireless Sensor Networks (WSNs) are vulnerable to a variety of unique security risks and
threats in their data collection and transmission processes. One of the most common attacks …

Feature Selection (FS) is critically important for optimising the performance of Intrusion
Detection Systems (IDSs) used in Wireless Sensor Networks (WSNs). However, selecting an …