Detection and Visualization of Android Malware Behavior

المؤلفون المشاركون

Somarriba, Oscar
Zurutuza, Urko
Uribeetxeberria, Roberto
Delosières, Laurent
Nadjm-Tehrani, Simin

المصدر

Journal of Electrical and Computer Engineering

العدد

المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-17، 17ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2016-03-14

دولة النشر

مصر

عدد الصفحات

17

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1108484