Recent theoretical and practical studies have revealed that malware is one of the most
harmful threats to the digital world. Malware mitigation techniques have evolved over the …

Malware detection plays a crucial role in cyber-security with the increase in malware growth
and advancements in cyber-attacks. Previously unseen malware which is not determined by …

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

Android malware detection is a serious issue for mobile security. Recent machine learning-
based research could achieve high accuracy. However, there are far more unlabeled …

AntiViruses (AVs) are the main defense line against attacks for most users and much
research has been done about them, especially proposing new detection procedures that …

The paper discusses an approach for detecting cyber attacks against smart power supply
networks, based on identifying anomalies in network traffic by assessing its self-similarity …

An increase in the number of Maritime Intelligent Transport Systems (MITSs) also means an
increase in the number of information security risks. Usually, the administration and …

Cyber fraud has become increasingly common as it can be easily carried out with relative
ease through multiple mediums. Particularly, the elderly population aged 60 and above …

Several supervised machine learning models have been proposed and used to detect
Android ransomware. These models were trained using different datasets from different …

Featured Application This work can be applied to develop new anti-malware strategies
based on event analysis. Abstract The detection and classification of threats in computer …