Presentation 2013/5/2
Detection Method for Android Malware by comparing Control Flow Graphs
KAZUKI IWAMOTO, KATSUMI WASAKI,
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Abstract(in English) The effective method to detect Android malware is necessary, because the number of Android malware has been increasing. In this paper, we propose the method to detect malware by comparing the graphs generated from Android applications by control flow analysis. We defined inclusion degree as the ratio including the graph extracted from malware. And an application is detected if inclusion degree is greater than threshold. We implemented 2 algorithms. The first algorithm uses the results of control flow analysis directly. The second algorithm corresponds to the optimization and obfuscation. We got inclusion degrees by comparing the graphs generated from Android applications with the graphs generated from malware, and considered the performances of those algorithms. Finally, we detected some malware in Android applications.
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Paper # Vol.2013-CSEC-61 No.5,Vol.2013-IOT-21 No.5
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Committee ICM
Conference Date 2013/5/2(1days)
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Registration To Information and Communication Management(ICM)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Detection Method for Android Malware by comparing Control Flow Graphs
Sub Title (in English)
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1st Author's Name KAZUKI IWAMOTO
1st Author's Affiliation Interdisciplinary Graduate School of Science and Technology, Shinshu University()
2nd Author's Name KATSUMI WASAKI
2nd Author's Affiliation Interdisciplinary Graduate School of Science and Technology, Shinshu University
Date 2013/5/2
Paper # Vol.2013-CSEC-61 No.5,Vol.2013-IOT-21 No.5
Volume (vol) vol.113
Number (no) 23
Page pp.pp.-
#Pages 8
Date of Issue