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 …

Malware stands for malicious software, which is installed on a computer system without the
knowledge of the system owner. It performs malicious actions such as stealing confidential …

With the rapid popularity of the Internet, a large amount of new malware is produced every
day, while the traditional signature based malware detection algorithm is unable to detect …

Protecting computer systems is a critical and ongoing problem, given that real-time malware
detection is hard. The state-of-the-art for defense cannot keep pace with the increasing level …

After analyzing the advance of technology, it is clear that use of the Internet, computers,
smart phones and tablets has become ubiquitous and therefore, the creation and …

Traditional malware detection techniques have focused on analyzing known malware
samples' codes and behaviors to construct an effective database of malware signatures. In …

Nowadays, machine learning based methods are among the most popular ones for malware
detection. However, most of the previous works use a single type of features, dynamic or …

Several policies initiatives around the digital economy stress on one side the centrality of
smartphones and mobile applications, and on the other call for attention on the threats to …

Malware is an international software disease. Research shows that the effect of malware is
becoming chronic. To protect against malware detectors are fundamental to the industry …

Current signature-based antivirus software is ineffective against many modern malicious
software threats. Machine learning methods can be used to create more effective …