Android malware has been in an increasing trend in recent years due to the pervasiveness
of Android operating system. Android malware is installed and run on the smartphones …

Malware is still a challenging security problem in the Android ecosystem, as malware is
often obfuscated to evade detection. In such case, semantic behavior feature extraction is …

This paper presents a privacy-preserving federated learning (PPFL) system for the detection
of android malware. The proposed PPFL allows mobile devices to collaborate together for …

Android malware poses a serious threat to cyberspace security, and many researchers are
committed to researching fast and effective methods for Android malware detection …

Deep learning approaches for malware attacks are effective when trained on the same
organizational network. However, it is challenging to develop a trustworthy distributed …

Android malware detection serves as the front line against malicious apps. With the rapid
advancement of machine learning (ML), ML-based Android malware detection has attracted …

Android malware detection is an important foundation for guaranteeing the security of
Android ecosystem. Convolutional neural network has been applied in Android malware …

Android is one of the most popular operating systems on smartphones, having been
dominating more than 70% of market shares of mobile OS since October 2016 based on the …