Software-defined wireless sensor network (SDWSN) is a networking model that brings
software-defined networking (SDN) benefits such as effortlessness, innovation, and flexible …

As Artificial Intelligence (AI) technologies continue to gain traction in the modern-day world,
they ultimately pose an immediate threat to current cybersecurity systems via exploitative …

Over the years, federated learning-based intrusion detection has attracted attention because
it preserves data privacy and improves the detection capabilities of local models. However …

The incidence of computer network intrusions has significantly increased over the last
decade, partially attributed to a thriving underground cyber-crime economy and the …

Cyber-attacks continue to create havoc for Internet connected services and systems. Cyber-
attacks can compromise not only a single computer system but also a distributed computing …

Finding and stopping breaches is now essential in the rapidly evolving world of
cybersecurity. This work involves a range of machine learning algorithms for intrusion …

In today's digitally interconnected world, securing computer networks against potential
threats is of utmost importance integrity and confidentiality of sensitive information are some …

Now-a-Days Intrusion Detection System is highly being used for detecting the attacks over
the network. It usually depends on the signatures and rules provided for identifying the …

This concept addresses the imperative need for robust Intrusion Detection system (IDs) in
Internet of Things (IoT) networks by presenting a comprehensive approach that integrates …

Abstract The Internet of Things (IoT) is a new model that connects physical objects and the
Internet and has become one of the most important technological developments in …