In the context of wireless sensor networks (WSNs), the utilization of artificial intelligence (AI)-
based solutions and systems is on the ascent. These technologies offer significant potential …

Malicious nodes launching selective forwarding attacks jeopardize network reliability in
event-driven wireless sensor networks. Swift detection and exclusion of these nodes are …

Wireless Sensor Networks (WSNs) show significant potential through their ability to collect
and analyze real-time data, notably enhancing various sectors. The new emerging security …

Cyber-attacks pose a significant challenge to the security of Internet of Things (IoT) sensor
networks, necessitating the development of robust countermeasures tailored to their unique …

Abstract WSN (Wireless Sensor Network) is considered as one of the promising
technologies which are utilized in various fields for various applications. Along with it …

The security of Industrial Supply Chain (ISC) has emerged through the integration of
Industrial Internet of Things (IIoT) and Blockchain (BC) technology. This new era involves …

This paper proposes a learning-driven approach for medium access slot allocation in the
presence of malicious nodes. Learning policies are developed with the goal of defending …

Machine Learning (ML) is one of the effective security approaches to build cyber-attacks
detection systems in Wireless Sensor Networks (WSNs). ML leverages the power of data …

Wireless sensor networks have great potential for use in flood control, weather forecasting
systems, the military, and the healthcare industry. A WSN's nodes are connected to one …

Complex network analysis is a powerful approach for finding fraud in a network. This is an
application of graph theory that enables the depiction of relationships between entities as …