Software-defined networking (SDN) has been widely adopted in different networks, such as
datacenter and service providers. The SDN controller has the entire network view and is …

Traditional traffic classification methods struggle to identify emerging network traffic due to
the need for model retraining, which hampers the real-time response of deployed edge …

With the rising demand for wireless services and increased awareness of the need for data
protection, existing network traffic analysis and management architectures are facing …

This paper investigates the application of ensemble learning techniques, specifically meta-
learning, in intrusion detection systems (IDS) for the Internet of Medical Things (IoMT). It …

Intrusion detection systems, also known as IDSs, are widely regarded as one of the most
essential components of an organization's network security. This is because IDSs serve as …

The escalating global prevalence of diabetes highlights an urgent need for advancements in
continuous glucose monitoring (CGM) technologies that are non-invasive, accurate, and …

Accurate grant classification of network traffic not only assists service providers in making
acceptable allocations based on actual business demands, but also ensures service quality …

Over the past decade, there has been a growing surge of interest in leveraging artificial
intelligence and machine learning models to address real‐world challenges within the field …

Intelligent data-planes (IDPs) can enhance network service performance and adaptation
speed by executing one or more machine learning (ML) models directly on the served flows …

Congestion is more prevalent in wireless networks due to the unique challenges and
limitations of the present wireless technology. With the increasing demand for high …