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 |
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Conference Date | 2013/5/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Information and Communication Management(ICM) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Detection Method for Android Malware by comparing Control Flow Graphs |
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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 |
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