The competing landscape between malware authors and security analysts is an ever‐
changing battlefield over who can innovate over the other. While security analysts are …

Abstract Context: State-of-the-art works on automated detection of Android malware have
leveraged app descriptions to spot anomalies wrt the functionality implemented, or have …

Metamorphic malware is a sophisticated malware that frequently modifies its code to avoid
being detected by signature-based methods while maintaining the same output during the …

Metamorphic malware is well known for evading signature-based detection by exploiting
various code obfuscation techniques. Current metamorphic malware detection approaches …

The most common malware detection approaches which are based on signature matching
and are not sufficient for metamorphic malware detection, since virus kits and metamorphic …

The rapid growth in smartphone and tablet usage over the last years has led to the
inevitable rise in targeting of these devices by cyber-criminals. The exponential growth of …

Previous research has shown that hidden Markov model (HMM) is a compelling option for
malware identification. However, some advanced metamorphic malware have proven to be …

Markov model (HMM) is a persuasive option for malware detection. However, some
advanced metamorphic malware are able to overcome the traditional methods based on …

The proliferation of metamorphic malware has recently gained a lot of research interest. This
is because of their ability to transform their program codes stochastically. Several detectors …

In this article, a non-signature based statistical scanner for metamorphic malware detection,
employing feature ranking methods like Term Frequency-Inverse Document Frequency …