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Conference Paper Detecting Malware with Similarity to Android Applications
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Authors
Wonjoo PARK, Sun-joong Kim, Won Ryu
Issue Date
2015-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2015, pp.1252-1254
Language
English
Type
Conference Paper
Project Code
14MR5100, The Development of a Real-time Solution for Smartphone Scam Issues based on an In-memory Cloud Environment, Park Won-Joo
Abstract
In light of the rapid growth of smartphones, there are unrelenting malicious attacks on smartphones from voice phishing to mobile malwares. Especially, SMiShing malicious application has become a crucial threat on smartphone since it can be easily rampant via URLs embedded in SMS messages and emails. SMiShing attack installs the malicious application, it has been exploited by financial fraud and leak of private information stored on the smartphone. Our solution intercepts and gathers the malicious application and analyzing it instead of smartphone. It can block installing malicious application on smartphone and also analyze fast and accurately. Also, a number of malicious applications targeting Android operation system are similar to known malware and repackaged an existed malicious application. It presents a unique feature that the downloaded applications can be compared with accumulated malwares. In this paper, we propose the detection system for android malicious application using static analysis along with malicious feature similarity.
KSP Keywords
Feature similarity, Financial Fraud, Intrusion detection system(IDS), Malicious application, Private information, SMS messages, android application, malicious attacks, operation system, rapid growth, static analysis