Ransomware has grown to be a dominant cybersecurity threat, by exfiltrating, encrypting or
destroying valuable user data, and causing numerous disruptions to victims. The severity of …

The effectiveness of machine learning models can be significantly averse to redundant and
irrelevant features present in the large dataset which can cause drastic performance …

According to the premise that the first step to try to solve a problem is to deepen our
knowledge of it as much as possible, this work is mainly aimed at diving into and …

Ransomware attacks pose a serious threat to Internet resources due to their far-reaching
effects. It's Zero-day variants are even more hazardous, as less is known about them. In this …

A smart public transport system is expected to be an integral part of our human lives to
improve our mobility and reduce the effect of our carbon footprint. The safety and ongoing …

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 …

Few-shot data collected from hoisting system suffer from inadequate information in the
practical industries, which reduces the diagnostic accuracy of the data-driven-based fault …

In recent years, ransomware attacks have exploded globally, and it has become one of the
most significant cyber threats to digital infrastructure. Such attacks have been targeting …

Malicious code has become an important factor threatening network security. Single feature-
based malicious code detection methods have achieved good detection results, but when …

The aim of this systematic literature review (SLR) is to provide a comprehensive overview of
the current state of Windows malware detection techniques, research issues, and future …