Recently, ransomware attacks have been among the major threats that target a wide range
of Internet and mobile users throughout the world, especially critical cyber physical systems …

Malware detection approaches can be classified into two classes, including static analysis
and dynamic analysis. Conventional approaches of the two classes have their respective …

Currently, malware is one of the most serious threats to Internet security. In this paper we
propose a malware classification algorithm that uses static features called MCSC (Malware …

Ransomware, a class of self-propagating malware that uses encryption to hold the victims'
data ransom, has emerged in recent years as one of the most dangerous cyber threats, with …

Classification of malware families is crucial for a comprehensive understanding of how they
can infect devices, computers, or systems. Hence, malware identification enables security …

The cryptography employed against user files makes the effect of crypto-ransomware attacks
irreversible even after detection and removal. Thus, detecting such attacks early, ie during …

The global ransomware cyberattacks cripples the national hospital system across the United
Kingdom, and causes waves of appointments and operations to be cancelled. Similar …

Hacking weapons come in handy for cyber criminals anytime. Ransomware has increased
in popularity. Its creators are playing our fears. The rapid proliferation of ransomware attack …

The evolution of malware is continuing at an alarming rate, despite the efforts made towards
detecting and mitigating them. Malware analysis is needed to defend against its …

Conventional malware detection approaches have the overhead of feature extraction, the
requirement of domain experts, and are time-consuming and resource-intensive. Learning …