Malicious software (malware) constitute one of the most pressing cyber threats intended to
cripple critical infrastructure, render infected systems unusable, permanently erase data from …

This paper presents an efficient and novel ap-proach for malware detection. The proposed
approach uses a hybrid wrapper-filter model for malware feature selection, which combines …

While increasing the threat of malware for information systems, researchers strive to find
alternative malware detection methods based on static, dynamic and hybrid analysis. Due to …

Malware replicates itself and produces offspring with the same characteristics but different
signatures by using code obfuscation techniques. Current generation Anti-Virus (AV) …

The number of malware is increasing rapidly regardless of the common use of anti-malware
software. Detection of malware continues to be a challenge as attackers device new …

This thesis is to develop effective and efficient methodologies which can be applied to
continuously improve the performance of detection and classification on malware collected …

Smartphone applications have gained popularity in recent years due to the large footprint of
mobile phone usage and availability of a large number of value-added applications. The …

This research study mainly focused on the dynamic malware detection. Malware
progressively changes, leading to the use of dynamic malware detection techniques in this …

In the case of malware analysis, categorization of malicious files is an essential part after
malware detection. Numerous static and dynamic techniques have been reported so far for …

The evolution of recent malicious software with the rising use of digital services has
increased the probability of corrupting data, stealing information, or other cybercrimes by …