In recent decades, researches on optimizing the parameter of the artificial neural network
(ANN) model has attracted significant attention from researchers. Hybridization of superior …

One of the most persistent challenges concerning network security is to build a model
capable of detecting intrusions in network systems. The issue has been extensively …

The most pressing issue in network security is the establishment of an approach that is
capable of detecting violations in computer systems and networks. There have been several …

The objective of this article is twofold. On the one hand, we introduce a cognitively inspired
hybridization metaheuristic that combines the strengths of two existing metaheuristics: the …

The aim of the study was to propose a new metaheuristic algorithm that combines parts of
the well-known artificial bee colony (ABC) optimization with elements from the recent …

Arguably the most recurring issue concerning network security is building an approach that
is capable of detecting intrusions into network systems. This issue has been addressed in …

A significant negative impact of spam e-mail is not limited only to the serious waste of
resources, time, and efforts, but also increases communications overload and cybercrime …

This study proposes a novel approach based on multi-objective artificial bee colony (ABC)
for feature selection, particularly for intrusion-detection systems. The approach is divided …

Over the years, the privacy of a biomedical signal processing is protected using the
encryption techniques design and meta-heuristic algorithms which are significant domain …

The Artificial Neural Networks Training (ANNT) process is an optimization problem of the
weight set which has inspired researchers for a long time. By optimizing the training of the …