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 …

The vast body of machine learning based Android malware detection research, reporting
high-performance metrics using a wide variety of proposed solutions, enables the logical …

Computer vision has witnessed several advances in recent years, with unprecedented
performance provided by deep representation learning research. Image formats thus appear …

The large body of Android malware research has demonstrated that machine learning
methods can provide high performance for detecting Android malware. However, the vast …

Mobile devices have been and will be continuously prevalent as rich applications are
provided for various demands. However, the mobile operating system lacks efficient …

The growing Android malware is seriously threatening the privacy and property security of
Android users. However, the existing detection methods are often unable to maintain …

The acceptance and widespread use of the Android operating system drew the attention of
both legitimate developers and malware authors, which resulted in a significant number of …

Today, the number, type and complexity of malware is increasing rapidly. Convolution
neural network (CNN) based networks continue to be used in software classification based …

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 …

The vast body of research in the Android malware detection domain has demonstrated that
machine learning can provide high performance for mobile malware detection. However, the …