With the growing sophistication of malware, the need to devise improved malware detection
schemes is crucial. The packing of executable files, which is one of the most common …

Malware analysis and detection techniques have been evolving during the last decade as a
reflection to development of different malware techniques to evade network-based and host …

Electroencephalogram (EEG) is the recording of the electrical activity of the brain which can
be used to identify different disease conditions. In the case of a partial epilepsy, some …

The continuous proliferation of malware poses a formidable threat to the cyberspace
landscape. Researchers have proffered a multitude of sophisticated defense mechanisms …

Electroencephalogram (EEG) is the recording of the electrical activity of the brain which can
be used to identify different disease conditions. In the case of a partial epilepsy, some …

Enterprises and individual users heavily rely on the abilities of antiviruses and other security
mechanisms. However, the methodologies used by such software are not enough to detect …

To evade security detection, hackers always add a deceptive packer outside of the original
malicious codes. The coexistence of original unpacked samples and packed samples of …

The steadily increasing number of malware variants is a significant problem, clogging the
input queues of automated analysis tools. The generation of malware variants is made easy …

Proposes a novel method, called local non-negative matrix factorization (LNMF), for learning
a spatially localized, parts-based subspace representation of visual patterns. An objective …

The proportion of packed malware has been growing rapidly and now comprises more than
80% of all existing malware. In this paper, we propose a method for classifying the packing …