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 …

Malware developers continually attempt to modify the execution pattern of malicious code
hiding it inside apparent normal applications, which makes its detection and classification …

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

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 …

Applying machine learning techniques to malware detection is a common approach to try to
overcome the limitations of signature-based methods. However, it is difficult to engineer a …

Commercial anti-malware programs have become mainstream security products and are
widely deployed. In practice, perhaps due to economic factors, users may only deploy a …

Recent studies have demonstrated the effectiveness of Hardware Performance Counters
(HPCs) for detecting pattern of malicious applications. Hardware-supported detectors utilize …

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 …

Any software which executes malicious payloads on victim machines is considered as a
malware such as the following: Viruses, worms, Trojan horses, rootkits, backdoor and …

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 …