Malware has emerged as a cyber security threat that continuously changes to target
computer systems, smart devices, and extensive networks with the development of …

Blood circulation depends critically on electrical activation, where any disturbance in the
orderly pattern of the heart's propagating wave of excitation can lead to arrhythmias …

In the ever-changing cyber threat landscape, evolving malware threats demand a new
technique for their detection. This paper puts forward a strategy for distinguishing malware …

Each year, malware issues remain one of the cybersecurity concerns since malware's
complexity is constantly changing as the innovation rapidly grows. As a result, malware …

Deep Learning (DL) has gained enormous popularity recently; however, it is an opaque
technique that is regarded as a black box. To ensure the validity of the model's prediction, it …

The Android platform has become the most popular smartphone operating system, which
makes it a target for malicious mobile apps. This paper proposes a machine learning-based …

Because of the fast expansion of the internet and technology, a slew of developing malware
and attack techniques has evolved. As a result, researchers concentrated their efforts on …

In this work, we proposed a hybrid deep learning model that (CNN-GRU) combines a One-
Dimensional Neural Network (1D CNN) and a Gated Recurrent Unit (GRU) to classify four …

The Android operating system is pervasively adopted as the operating system platform of
choice for smart devices. However, the strong adoption has also resulted in exponential …

Nowadays, countries face a multitude of electronic threats that have permeated almost all
business sectors, be it private corporations or public institutions. Among these threats …