Hits:

Title of Paper:Android Malware Detection via Graph Representation Learning

Journal:Mobile Information Systems

Abstract:With the widespread usage of Android smartphones in our daily lives, the Android platform has become an attractive target for malware authors. There is an urgent need for developing an automatic malware detection approach to prevent the spread of malware. The low code coverage and poor efficiency of the dynamic analysis limit the large-scale deployment of malware detection methods based on dynamic features. Therefore, researchers have proposed a plethora of detection approaches based on abundant static features to provide efficient malware detection. This paper explores the direction of

All the Authors:Xi Ning

Document Code:https://doi.org/10.1155/2021/5538841

Translation or Not:no