The Android malware detection systems between hope and reality

摘要: The widespread use of Android-based smartphones made it an important target for malicious applications’ developers. So, a large number frameworks have been proposed to tackle the huge daily published malwares. Despite there are many review papers that conducted in order shed light on works achieved Android malware analysing domain, do not fit with importance this research field and volume works. Also, is no comprehensive taxonomy all trends applications targeting system. Furthermore, none existing contains schematic model makes easy reader know methods methodologies used particular without much effort. This paper aims at proposing suggesting new approach. To end, between 2009 2019 has conducted. study includes more than 200 different goals such as apps’ behaviour analysis, automatic user interface triggers or packer/unpacker development. so most previous can be classified under it. best our knowledge, suggested widest terms covered trends. Moreover, we detailed (called Schematic Review Model) illustrates process detecting malignant studied taxonomy. first time detection explained way amount detail. researches analysed according multiple criteria method, features, dataset. features were discussed detail by dividing into classes. challenges facing Android’s Finally, concluded gaps size goal apps every day, some future areas discussed.