Efforts to raise the bar of higher education so as to respond to dynamic societal/industry
needs have led to a number of initiatives, including artificial neural network (ANN) based …

This work presents a literature review of multiple classifier systems based on the dynamic
selection of classifiers. First, it briefly reviews some basic concepts and definitions related to …

The problem of network intrusion detection poses innumerable challenges to the research
community, industry, and commercial sectors. Moreover, the persistent attacks occurring on …

Network Intrusion Detection is one of the most researched topics in the field of computer
security. Hacktivists use sophisticated tools to launch numerous attacks that hamper the …

Most of the security threats in various communications networks are posed by the illegitimate
entities that enter or intrude within the network perimeter, which could commonly be termed …

Network security plays an essential role in secure communication and avoids financial loss
and crippled services due to network intrusions. Intruders generally exploit the flaws of …

The introduction of fifth generation mobile networks is underway all over the world which
makes many people think about the security of the network from any hacking. Over the past …

In recent years, a forward-looking subfield of machine learning has emerged with important
applications in a variety of scientific fields. Semi-supervised learning is increasingly being …

With the accelerating convergence of fifth-generation (5G) communication technology and
the automotive industry, vehicular network has received wide attention due to its great …

Effective network intrusion detection techniques are required to thwart evolving
cybersecurity threats. Historically, traditional enterprise networks have been researched …