Abstract The Internet of Things (IoT) has set the way for the continuing digitalization of
society in various manners during the past decade. The IoT is a vast network of intelligent …

There has been an increasing trend of malware release, which raises the alarm for security
professionals worldwide. It is often challenging to stay on top of different types of malware …

This paper presents API-MalDetect, a new deep learning-based automated framework for
detecting malware attacks in Windows systems. The framework uses an NLP-based encoder …

The rapid growth in the number of malware and its variants has seriously affected the
security of the Internet. In recent years, deep learning combined with visualization …

The advancement of the communications system has resulted in the rise of the Internet of
Things (IoT), which has increased the importance of cybersecurity research. IoT, which …

The advancement in smart agriculture through the Internet of Things (IoT) devices has
increased the risk of cyber-attacks. Most of the existing malware detection techniques are …

Existing malware classification methods cannot handle the open-ended growth of new or
unknown malware well because it only focuses on pre-defined malware classes with …

Visualization-based approaches have recently been used in conjunction with signature-
based techniques to detect variants of malware files. Indeed, it is sufficient to modify some …

With the rapid increase in the number of malware, the detection and classification of
malware have become more challenging. In recent years, many malware classification …

Malware has become a formidable threat as it has grown exponentially in number and
sophistication. Thus, it is imperative to have a solution that is easy to implement, reliable …