This thesis is to develop effective and efficient methodologies which can be applied to
continuously improve the performance of detection and classification on malware collected …

In the Internet age, malware (such as viruses, trojans, ransomware, and bots) has posed
serious and evolving security threats to Internet users. To protect legitimate users from these …

Malware is one of the most terrible and major security threats facing the Internet today. It is
evolving, becoming more sophisticated and using new ways to target computers and mobile …

Malware is any kind of program explicitly designed to harm, such as viruses, trojan horses or
worms. Since the amount of malware is growing exponentially, it already poses a serious …

Ever-evolving malware continues to flood the Internet at an alarming rate. This makes it
challenging for security organizations and anti-malware vendors to devise e ective solutions …

One of the top most cyber security threats–in today's world–are malware applications.
Traditional signature and static analysis based malware defenses are prune to obfuscation …

This paper presents a malware classification approach which aims to improve precision and
support scalability. To this end, a hybrid approach combining both static and dynamic …

Malicious software is a kind of software or codes which took some: private data, information
from the PC framework, its tasks is to do only malicious objectives to the PC framework …

Malware detection relies on the discriminative power of machine learning to identify new
variants of malware samples. Automated malware detection, driven by machine learning …

Recent years have encountered massive growth in malwares which poses a severe threat to
modern computers and internet security. Existing malware detection systems are confronting …