The increased sophistication and evasiveness of malware has brought tremendous
challenges to vendors of antivirus systems. Various malware detection approaches have …

This work falls in the area of collaborative malware detection systems which rely on
expertise and knowledge from multiple different antivirus software for malware detection. A …

We propose a detection system incorporating a weighted voting mechanism that reflects the
vote's reliability based on the accuracy of each detector's examination, which overcomes the …

The sheer volume of new malware found each day is growing at an exponential pace.
Centralized systems that collect all malware samples to central severs can cause problems …

A variety of anti-malware scanners have been developed for malware detection. Previous
research has indicated that combining multiple different scanners can achieve better result …

The constant increase of malware threats clearly shows that the present countermeasures
are not sufficient especially because most actions are put in place only when infections have …

Anti-malware tools remain the primary line of defense against malicious software. There is a
wide variety of commercial anti-malware tools in the IT security market. However, no single …

The rise in the number and complexity of malware attacks has become a serious threat to
computer systems and networks. Consequently, there is a growing need for advanced …

Thanks to the numerous machine learning based malware detection (MLMD) research in
recent years and the readily available online malware scanning system (eg, VirusTotal), it …

We present and evaluate a large-scale malware detection system integrating machine
learning with expert reviewers, treating reviewers as a limited labeling resource. We …