The massive growth of computer usage has led to an increase in the related security
concerns. Malware, such as Viruses, Worms, and Trojans, have become a major issue due …

Abstract Machine learning-based malware detection systems have been widely suggested
and used as a replacement for signature-based detection methods. Such systems have …

The amount of malicious software, shortly known as malware, is continuously rising,
alongside the diversity and complexity of malware. Statistics provided by AV-Test Institute …

Despite the continued advancements in security research, malware persists as being a
major threat in this digital age. Malware detection is a primary defence strategy for most …

Malware that exploits the Web on a regular basis becomes a real menace. The transmission
of malwareis very rapid during the last two decades which needs to bedetected. One of the …

I would like to thank A/P Chi Chi-Hung for his mentorship, the effort he put into our
discussions and all his help in revising the thesis. I would also like to acknowledge Dr Ken …

A number of machine learning based malware detection systems have been suggested to
replace signature based detection methods. These systems have shown that they can …

This introductory document discusses topics related to malware detection via the application
of machine learning algorithms. It is intended as a supplement to the published work …

Malicious software, known as malware, puts the protection of computers at major risk.
Classic safety defenses are ineffective because of the number and variety of variants, and …

This paper presents the state-of-the-art in malware detection and what properties of malware
they depend on. Understanding the connection between different malware and detection …