Android Hook Detection Based on Machine Learning and Dynamic Analysis

Michal Szczepanik, Ireneusz J. Józwiak, Piotr P. Józwiak, Michal Kedziora, Jolanta Mizera-Pietraszko

Abstract: This research paper is focused on hook detection. The authors propose a machine learning algorithm and perform dynamic analysis aimed at detecting malicious code not being the app component. In this paper the authors try to confirm that the concept proposed can be used as a practical solution for detection of code modifications in dynamic applications.