Malware detection and classification are crucial for protecting digital devices and information
systems. Accurate identification of malware enables researchers and incident responders to …

Malicious botnet applications have become a serious threat and are increasingly
incorporating sophisticated detection avoidance techniques. Hence, there is a need for more …

Occluded person re-identification is one of the challenging areas of computer vision, which
faces problems such as inefficient feature representation and low recognition accuracy …

In recent years, a significant amount of research has focused on analyzing the effectiveness
of machine learning (ML) models for malware detection. These approaches have ranged …

Nowadays, ransomware is considered one of the most critical cyber-malware categories. In
recent years various malware detection and classification approaches have been proposed …

Over the last decade, a driver's distraction has gained popularity due to its increased
significance and high impact on road accidents. Various factors, such as mood disorder …

Image conversion of byte-level data, or binary visualisation, is a relevant approach to
security applications interested in malicious activity detection. However, in practice, binary …

In the field of computer vision, hand pose estimation (HPE) has attracted significant attention
from researchers, especially in the fields of human–computer interaction (HCI) and virtual …

The intrusion detection system (IDS) must be able to handle the increase in attack volume,
increasing Internet traffic, and accelerating detection speeds. Network flow feature (NTF) …

A cyber physical system (CPS) is a network of cyber (computation, communication) and
physical (sensors, actuators) components which interact with one another in a feedback form …