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Title
A collaborative framework for android malware detection using DNS & dynamic analysis
Author
Zurutuza, Urko
Author (from another institution)
Somarriba Jarquin, Oscar Manuel
Research Group
Análisis de datos y ciberseguridad
Other institutions
Universidad Nacional de Ingeniería (Nicaragua)
Version
Postprint
Rights
© 2018 IEEE
Access
Open access
URI
https://hdl.handle.net/20.500.11984/5932
Publisher’s version
https://doi.org/10.1109/CONCAPAN.2017.8278529
Published at
IEEE 37th Central America and Panama Convention (CONCAPAN XXXVII)  Managua, 15-17 November 2017. IEEE, 2018
Publisher
IEEE
Keywords
Android malware
API calls
Dynamic behavior analysis
DNS queries ... [+]
Android malware
API calls
Dynamic behavior analysis
DNS queries
Collaborative framework [-]
Abstract
Nowadays, with the predominance of smart devices such as smartphones, mobile malware attacks have increasingly proliferated. There is an urgent need of detecting potential malicious behaviors so as to ... [+]
Nowadays, with the predominance of smart devices such as smartphones, mobile malware attacks have increasingly proliferated. There is an urgent need of detecting potential malicious behaviors so as to hinder them. Furthermore, Android malware is one of the major security issues and fast growing threats facing the Internet in the mobile arena. At the same time, DNS (Domain Name System) is widely misused by miscreants in order to provide Internet connection within malicious networks. Here, we propose an infrastructure for monitoring the Android applications in a platform-independent manner, introducing hooks in order to trace restricted API calls used at runtime of the application. These traces are collected at a central server were the application behavior filtering, string matching, and visualization takes place. From these traces we can extract malicious URLs and correlate them with DNS service network traffic, enabling us to find presence of malware running at the network level. [-]
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