Over the last decade, numerous research efforts have been dedicated to countering malicious mobile applications. Given its market share, Android OS has been the primary …
A Redhu, P Choudhary, K Srinivasan, TK Das - Frontiers in Physics, 2024 - frontiersin.org
This article explores deep learning models in the field of malware detection in cyberspace, aiming to provide insights into their relevance and contributions. The primary objective of the …
S Dong, L Shu, S Nie - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
With the continuous upgrading and development of malware attack methods, traditional detection methods have shown a series of serious problems such as low classification …
Advancements in microelectronics have increased the popularity of mobile devices like cellphones, tablets, e-readers, and PDAs. Android, with its open-source platform, broad …
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 …
The development of cyber-physical systems entails the growth and diversity of malware, which increases the scale of cybersecurity threats. Attackers use malicious software to …
J Yang, C Gui - Journal of Intelligent & Fuzzy Systems, 2024 - content.iospress.com
Malware attack is a growing problem on the Android mobile platform due to its popularity and openness. Although numerous malware detection approaches have been proposed, it …
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 …
R Alguliyev, R Aliguliyev, L Sukhostat - Transfer, 2019 - researchgate.net
The development of cyber-physical systems entails the growth and diversity of malware, which increases the scale of cybersecurity threats. Attackers use malicious software to …