Malware continues to gain momentum as it becomes more sophisticated against detection.
Monitoring tools and antivirus software do not have the ability to keep up with the ever-going …

The Internet of Things (IoT) constitutes the foundation of a deeply interconnected society in
which objects communicate through the Internet. This innovation, coupled with 5G and …

In this paper, we conceive a new kind of output layer design in deep neural networks for the
multi-class problems. The traditional output layer is set by the one-to-one method. For the …

Principal component analysis (PCA) is an unsupervised machine learning algorithm that
plays a vital role in reducing the dimensions of the data in building an appropriate machine …

The number of malicious software attacks on the Android operating system (OS) is
increasing daily. Thus, efficient detection and classification models must be used to …

In today's digital landscape, the task of identifying various types of malicious files has
become progressively challenging. Modern malware exhibits increasing sophistication …

El “Modelo de Madurez de Capacidades de Ciberseguridad para Naciones”(CMM, por sus
siglas en inglés:“Cybersecurity Capability Maturity Model for Nations”) es un marco …

Smartphone use and dependability have increased substantially in recent years, as have
malicious attempts to compromise mobile devices with various malware. Therefore …

Ransomware is a noteworthy form of attack that is well-known for the threat it poses to users.
This danger invariably leads to huge conflicts, which cybersecurity seeks to prevent. In most …

This research focuses on the detection of malware in sample datasets using machine
learning algorithms. As malware becomes more advanced against detection in the …