In this survey, we review the key developments in the field of malware detection using AI and
analyze core challenges. We systematically survey state-of-the-art methods across five …

In this paper, we argue that machine learning techniques are not ready for malware
detection in the wild. Given the current trend in malware development and the increase of …

Although malicious software (malware) has been around since the early days of computers,
the sophistication and innovation of malware has increased over the years. In particular, the …

Microsoft's Windows desktop operating system has been the most popular operating system
in the domain of personal computers in recent years. The popularity of this system has also …

In the past decade, the number of malware variants has increased rapidly. Many
researchers have proposed to detect malware using intelligent techniques, such as Machine …

With the rapid growth of technology and IT-enabled services, the potential damage caused
by malware is increasing rapidly. A large number of detection methods have been proposed …

Nowadays, it is increasingly difficult even for a machine learning expert to incorporate all of
the recent best practices into their modeling due to the fast development of state-of-the-art …

Artificial Intelligence techniques have evolved rapidly in recent years, revolutionising the
approaches used to fight against cybercriminals. But as the cyber security field has …

Many studies have proposed machine-learning (ML) models for malware detection and
classification, reporting an almost-perfect performance. However, they assemble ground …

Machine learning techniques are widely used in addition to signatures and heuristics to
increase the detection rate of anti-malware software, as they automate the creation of …