Detection and Visualization of Android Malware Behavior. (14th March 2016)

• Record Type: Journal Article
• Authors: Somarriba, Oscar; Zurutuza, Urko; Uribeetxeberria, Roberto; Delosières, Laurent; Nadjm-Tehrani, Simin
• Other Names: Mahanti Aniket Academic Editor.
• Is Part Of: Journal of electrical and computer engineering. Volume 2016(2016)
• Publication Date: 2016-03-14
• Subjects: Computer engineering -- Periodicals; Electrical engineering -- Periodicals; 621.3905
• DOI: 10.1155/2016/8034967
• Languages: English
• ISSNs: 2090-0147

Abstract

Abstract : Malware analysts still need to manually inspect malware samples that are considered suspicious by heuristic rules. They dissect software pieces and look for malware evidence in the code. The increasing number of malicious applications targeting Android devices raises the demand for analyzing them to find where the malcode is triggered when user interacts with them. In this paper a framework to monitor and visualize Android applications' anomalous function calls is described. Our approach includes platform-independent application instrumentation, introducing hooks in order to trace restricted API functions used at runtime of the application. These function calls are collected at a central server where the application behavior filtering and a visualization take place. This can help Android malware analysts in visually inspecting what the application under study does, easily identifying such malicious functions.