… First, because the topic of this review involves both machine learning and Android malware
… ‘machine learning + Android malware detection’’ and ‘‘machine learning + Android malware’’…

… The problem of detecting such malware presents unique challenges due to the limited … we
present a machine learningbased system for the detection of malware on Android devices. Our …

… To better mitigate mobile malware threats, we plan to automate the deep learning based
tool for online Android malware detection in our future work, you can follow up our ongoing …

… of deep learning. In 2014, deep learning tools were applied to Android malware defenses
and … Subsequently, an increasing number of researchers have developed Android malware …

… This paper proposes a deep learning method for Android malware detection. Through static
analysis, it extracts 11 different behavior features, including component, intention, requested …

… In this paper, we introduce SIGPID, a malware detection system based on permission usage
… number of Android malware. Instead of extracting and analyzing all Android permissions, …

… In the light of our analyses, we conclude that deep learning is a promising technique for
Android malware detection. The rest of this study is organized as follows. In Section 2, we …

… Android apps. Then, we build the deep learning model to learn features from Android apps…
Finally, the learned features are used to detect unknown Android malware. In an experiment …

… features for developing malware detection model we … Android malware detection model
we implement distinct supervised, unsupervised, semi-supervised and hybrid machine learning …

… We propose a practical Android malware detection system, MAPAS, that find malware … To
this end, MAPAS learns API call graphs of malware and detects malware based on analyzed …