A privacy stealing detection method based on behavior-chain for android applications

被引：0

作者：

Wang, Zhao-Guo ^{[1
]}

Li, Cheng-Long ^{[2
]}

Zhang, Luo-Shi ^{[3
]}

Zhang, Ji-Bao ^{[3
]}

Guan, Yi ^{[1
]}

Xue, Yi-Bo ^{[4
]}

机构：

[1] School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150006, Heilongjiang

[2] National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing

[3] Harbin Univ. of Sci. & Tech., Computer Science & Technology College, Harbin, 150080, Heilongjiang

[4] Tsinghua National Lab. for Information Sci. & Tech., Beijing

来源：

Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2015年 / 43卷 / 09期

关键词：

Android system; Behavior chain; Malware detection; Privacy leakage;

D O I：

10.3969/j.issn.0372-2112.2015.09.011

中图分类号：

学科分类号：

摘要：

The increasing presence of Android privacy leakages poses a significant privacy risk for Android smartphone users. This paper proposes a privacy leakage detection method based on behavior chain, which can achieve the fine-grained location of the source and points of the information leakage. With the WxShall algorithm, we can calculate the accessibility between the leakage source and leakage points, and detect the transfer path of privacy in Android applications. The detections of 1259 Android applications show that the accuracy of this algorithm reaches 95.1% and the complexity accounts for 5.45% of WarShall algorithm. The results of the experiments demonstrate that the method is better than Androgurad and Kirin. ©, 2015, Chinese Institute of Electronics. All right reserved.

引用

页码：1750 / 1755

页数：5

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