Multifeature-Based Behavior of Privilege Escalation Attack Detection Method for Android Applications

Abstract

This study proposed an application behavior-detection method based on multifeature and process algebra for detecting privilege escalation attacks in Android applications. The five features of application that constituted the attack were determined through an analysis of the privilege escalation attack model. On the basis of the extraction of multiple features, process algebra was used to build the application-behavior model and the attack model. Strong equivalence relation was used to verify the application behavior. Finally, dataflow path detection is conducted among the applications that can constitute privilege escalation attacks to determine those apps constituted a privilege escalation attack. The accuracy and effectiveness of the proposed method were verified using the DroidBench benchmark test and the test set that includes 55 APKs of 22 types.