DocumentCode :
186866
Title :
Analyzing and detecting method of Android malware via disassembling and visualization
Author :
Wonjoo Park ; Kyong-Ha Lee ; Kee-Seong Cho ; Won Ryu
Author_Institution :
Intell. Convergence Media Res. Dept., ETRI, Daejeon, South Korea
fYear :
2014
fDate :
22-24 Oct. 2014
Firstpage :
817
Lastpage :
818
Abstract :
In light of their rapid growth, there is a pressing need to develop analysis and decision solutions whether or not. However, most of protections are limited understanding of these mobile malware and sophisticated analyzing. In this paper, we propose a method of analyzing and deciding malware on the basis of similarity with existing malware families on the popular platform, Android. We focus on the checking visual similarity among Android malwares and deciding the degree of similarity with other malware families to help distributing to inspector appropriately.
Keywords :
Android (operating system); invasive software; smart phones; Android malware analysis method; Android malware detection method; disassembling method; malware family similarity degree; mobile malware; visual similarity checking; visualization method; Accuracy; Androids; Humanoid robots; Malware; Mobile communication; Smart phones; Visualization; Android malware; Smartphone security; malware analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technology Convergence (ICTC), 2014 International Conference on
Conference_Location :
Busan
Type :
conf
DOI :
10.1109/ICTC.2014.6983300
Filename :
6983300
Link To Document :
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