Detection and Visualization of Android Malware Behavior
Joint Authors
Somarriba, Oscar
Zurutuza, Urko
Uribeetxeberria, Roberto
Delosières, Laurent
Nadjm-Tehrani, Simin
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-14
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Somarriba, Oscar& Zurutuza, Urko& Uribeetxeberria, Roberto& Delosières, Laurent& Nadjm-Tehrani, Simin. 2016. Detection and Visualization of Android Malware Behavior. Journal of Electrical and Computer Engineering،Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1108484
Modern Language Association (MLA)
Somarriba, Oscar…[et al.]. Detection and Visualization of Android Malware Behavior. Journal of Electrical and Computer Engineering No. 2016 (2016), pp.1-17.
https://search.emarefa.net/detail/BIM-1108484
American Medical Association (AMA)
Somarriba, Oscar& Zurutuza, Urko& Uribeetxeberria, Roberto& Delosières, Laurent& Nadjm-Tehrani, Simin. Detection and Visualization of Android Malware Behavior. Journal of Electrical and Computer Engineering. 2016. Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1108484
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1108484