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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
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- 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
- Detection Systems(IDS), Financial fraud, Malicious application, Operation system, Private information, Rapid growth, SMS messages, android application, feature similarity, malicious attacks, static analysis