Demadroid: Object Reference Graph-Based Malware Detection in Android
Joint Authors
Zhang, Weizhe
He, Hui
Wang, Huanran
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-31
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
Smartphone usage has been continuously increasing in recent years.
In addition, Android devices are widely used in our daily life, becoming the most attractive target for hackers.
Therefore, malware analysis of Android platform is in urgent demand.
Static analysis and dynamic analysis methods are two classical approaches.
However, they also have some drawbacks.
Motivated by this, we present Demadroid, a framework to implement the detection of Android malware.
We obtain the dynamic information to build Object Reference Graph and propose λ-VF2 algorithm for graph matching.
Extensive experiments show that Demadroid can efficiently identify the malicious features of malware.
Furthermore, the system can effectively resist obfuscated attacks and the variants of known malware to meet the demand for actual use.
American Psychological Association (APA)
Wang, Huanran& He, Hui& Zhang, Weizhe. 2018. Demadroid: Object Reference Graph-Based Malware Detection in Android. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1214314
Modern Language Association (MLA)
Wang, Huanran…[et al.]. Demadroid: Object Reference Graph-Based Malware Detection in Android. Security and Communication Networks No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1214314
American Medical Association (AMA)
Wang, Huanran& He, Hui& Zhang, Weizhe. Demadroid: Object Reference Graph-Based Malware Detection in Android. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1214314
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214314