In this paper, we measure the relative accuracy of malware detectors in the absence of
ground truth regarding the quality of malware detectors (ie, the detection accuracy) or the …

The accurate measurement of security metrics is a critical research problem, because an
improper or inaccurate measurement process can ruin the usefulness of the metrics. This is …

Real time Malware detection is still a big challenge; although considerable research showed
advances of design and build systems that can automatically predicate the maliciousness of …

In the context of malware detection, ground-truth labels of files are often difficult or costly to
obtain; as a consequence, malware detector effectiveness metrics (eg, false-positive and …

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 …

This work focuses on a specific front of the malware detection arms-race, namely the
detection of persistent, disk-resident malware. We exploit normalised compression distance …

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 …

Malware detection is a critical task in cybersecurity to protect computers and networks from
malicious activities arising from malicious software. With the emergence of machine learning …

Malware pose a serious and challenging threat across the Internet and the need for
automated learning-based approaches has become rapidly clear. Machine learning has …

Malicious software, often described as malware, is one of the greatest threats to modern
computer systems, and attackers continue to develop more sophisticated methods to access …