To address the issue of malware detection through large sets of applications, researchers have recently started to investigate the capabilities of machine-learning techniques for …
With the increasing use of mobile devices, malware attacks are rising, especially on Android phones, which account for 72.2% of the total market share. Hackers try to attack …
As in other cybersecurity areas, machine learning (ML) techniques have emerged as a promising solution to detect Android malware. In this sense, many proposals employing a …
Android has dominated the smartphone market and become the most popular mobile operating system. This rapidly increasing market share of Android has contributed to the …
K Liu, S Xu, G Xu, M Zhang, D Sun, H Liu - IEEE access, 2020 - ieeexplore.ieee.org
Android applications are developing rapidly across the mobile ecosystem, but Android malware is also emerging in an endless stream. Many researchers have studied the …
As the smartphone market leader, Android has been a prominent target for malware attacks. The number of malicious applications (apps) identified for it has increased continually over …
The Android platform is known as the market leader for mobile devices, but it also has gained much attention among malware authors in recent years. The widespread of malware …
Machine learning–(ML) based approach is considered as one of the most promising techniques for Android malware detection and has achieved high accuracy by leveraging …
Y Aafer, W Du, H Yin - Security and Privacy in Communication Networks …, 2013 - Springer
The increasing popularity of Android apps makes them the target of malware authors. To defend against this severe increase of Android malwares and help users make a better …