The Android platform has become the most popular smartphone operating system, which
makes it a target for malicious mobile apps. This paper proposes a machine learning-based …

The challenge of developing an Android malware detection framework that can identify
malware in real-world apps is difficult for academicians and researchers. The vulnerability …

In recent times very sophisticated and complicated malware are being produced on a
regular basis and it has grown into one of the stealthiest and lethal attack techniques used …

This chapter introduces PerbDroid—a framework to detect malware from Android
smartphones. To address the issues of malware detection through a broad set of apps …

Android operating system in the market makes these devices the first target for malicious
applications. In recent years, several Android malware applications were developed to …

The revolutionary in cyber attacks, especially in smartphones are rising. The Android
operating system is becoming one of the most leading operating systems. Therefore …

With the rapid growth of Android devices and applications, the Android environment faces
more security threats. Malicious applications stealing usersʼ privacy information, sending …

The rapid growth of Android apps and its worldwide popularity in the smartphone market has
made it an easy and accessible target for malware. In the past few years, the Android …

Android malware is continuously evolving at an alarming rate due to the growing
vulnerabilities. This demands more effective malware detection methods. This paper …

As more and more sophisticated Android malwares appear in the online markets, accurate
malware detection becomes an important issue in the Android ecosystem. This paper …