The continuous advancement of computer networks has given rise to grave concerns
regarding security and susceptibility. Network administrators utilize intrusion detection …

This study researches the application of Advanced Graph Theory algorithms to further
develop network resilience. Algorithms such as centralized analysis, community detection …

Detecting anomalies is crucial for maintaining security in Wireless Sensor Networks (WSNs),
as they are susceptible to various attacks that compromise nodes and yield inaccurate …

This research pioneers a unique approach to wireless ad hoc network security by
introducing a novel machine learning-driven dynamic trust establishment mechanism called …

Background and Objectives: Wireless sensor networks (WSNs) are ad-hoc technologies that
have various applications in different industries such as in healthcare systems, environment …

The Internet of Things (IoT) suffers from different types of attacks due to the vulnerability
present in devices. Cyber security has become a critical concern in protecting IoT networks …

Intrusion Detection (ID) is a critical component in cybersecurity, tasked with identifying and
thwarting unauthorized access or malicious activities within networked systems. The advent …

Methods: The lack of infrastructure space and the vulnerable nature of these networks make
it difficult to design security models and algorithms for them. So, to run the sensor network in …