This systematic literature review employs the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
Since the advent of malware, it has reached a toll in this world that exchanges billions of data daily. Millions of people are victims of it, and the numbers are not decreasing as the …
Q Li, B Zhang, D Tian, X Jia, C Hu - Expert Systems with Applications, 2024 - Elsevier
Malware detection is of great importance to computer security. Although the malware detection approaches have made great progress in recent years, these methods are still …
The ever-increasing growth of online services and smart connectivity of devices have posed the threat of malware to computer system, android-based smart phones, Internet of Things …
Android has been a significant target of malware applications due to the exponential growth of mobile devices. This may result in severe threats to Android users such as financial loss …
Android is the most targeted mobile operating system for malware attacks. Most modern anti- malware solutions largely incorporate deep learning or machine learning techniques to …
Malware attacks continue to evolve, making detection challenging for traditional static and dynamic analysis techniques. On the other hand, memory analysis provides valuable …
J Zhang, S Liu, Z Liu - Plos one, 2024 - journals.plos.org
In recent years, with the development of the Internet, the attribution classification of APT malware remains an important issue in society. Existing methods have yet to consider the …
For malicious purposes, attackers hide malware in the software used by their victims. New malware is continuously being shared on the Internet, which differs both in terms of the type …