According to the recent studies, malicious software (malware) is increasing at an alarming
rate, and some malware can hide in the system by using different obfuscation techniques. In …

In recent years, machine learning algorithms, and more specifically deep learning
algorithms, have been widely used in many fields, including cyber security. However …

Although the concept of ransomware is not new (ie, such attacks date back at least as far as
the 1980s), this type of malware has recently experienced a resurgence in popularity. In fact …

Recent technological developments in computer systems transfer human life from real to
virtual environments. Covid-19 disease has accelerated this process. Cyber criminals' …

In this research, we compare malware detection techniques based on static, dynamic, and
hybrid analysis. Specifically, we train Hidden Markov Models (HMMs) on both static and …

The drastic increase of Android malware has led to a strong interest in develo** methods
to automate the malware analysis process. Existing automated Android malware detection …

Malicious software–so called malware–poses a major threat to the security of computer
systems. The amount and diversity of its variants render classic security defenses ineffective …

Modern malware is designed with mutation characteristics, namely polymorphism and
metamorphism, which causes an enormous growth in the number of variants of malware …

The rise in popularity of the Android platform has resulted in an explosion of malware threats
targeting it. As both Android malware and the operating system itself constantly evolve, it is …

As Android has become increasingly popular, so has malware targeting it, thus motivating
the research community to propose different detection techniques. However, the constant …