A collaborative approach on host and network level android malware detection

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We suggest a collaborative approach for revealing malicious behaviors on Android smartphones by which monitoring four observable parts: (i) network usages (ii) network connections, (iii) APIs and (iv) permissions. Therefore, we have designed a detection system which consists of four engines: network behavior analysis engine, host domain reputation analysis engine, critical API call pattern analysis engine, and Android permissions use analysis engine. Each of them monitors its specific part from Android apps and independently detects malicious behavior and, given the information from four engines, the correlator determines a final decision. Finally, to show efficiency, we have evaluated our system with real world 1,621 apps. (C) 2017 John Wiley & Sons, Ltd.
Publisher
HINDAWI LTD
Issue Date
2016-12
Language
English
Article Type
Article
Citation

SECURITY AND COMMUNICATION NETWORKS, v.9, no.18, pp.5639 - 5650

ISSN
1939-0114
DOI
10.1002/sec.1723
URI
http://hdl.handle.net/10203/223607
Appears in Collection
EE-Journal Papers(저널논문)
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