1. 国家计算机网络应急技术处理协调中心,北京,100029
2. 哈尔滨理工大学计算机科学与技术学院,黑龙江,哈尔滨,150080
3. 清华信息科学与技术国家实验室,北京,100084
4. 哈尔滨工业大学计算机科学技术学院,黑龙江,哈尔滨,150006
纸质出版:2015
移动端阅览
王兆国, 李城龙, 张洛什, 等. 一种基于行为链的Android应用隐私窃取检测方法[J]. 电子学报, 2015,43(9):1750-1755.
WANG Zhao-guo, LI Cheng-long, ZHANG Luo-shi, et al. A Privacy Stealing Detection Method Based on Behavior-Chain for Android Applications[J]. Acta Electronica Sinica, 2015, 43(9): 1750-1755.
王兆国, 李城龙, 张洛什, 等. 一种基于行为链的Android应用隐私窃取检测方法[J]. 电子学报, 2015,43(9):1750-1755. DOI: 10.3969/j.issn.0372-2112.2015.09.011.
WANG Zhao-guo, LI Cheng-long, ZHANG Luo-shi, et al. A Privacy Stealing Detection Method Based on Behavior-Chain for Android Applications[J]. Acta Electronica Sinica, 2015, 43(9): 1750-1755. DOI: 10.3969/j.issn.0372-2112.2015.09.011.
本文针对Android应用中普遍存在的用户隐私窃取问题
提出了基于行为链的应用隐私窃取行为检测方法
该方法能细粒度地定位Android应用中存在的信息泄露源和信息泄露点
利用WxShall算法快速计算信息泄漏源和信息泄露点之间的可达性
自动化地追踪Android应用中存在的隐私信息传递路径
实现了对Android应用中隐私窃取行为的完整检测和分析.对1259款应用检测结果表明
本方法正确性超过95.1%
算法复杂度仅为WarShall算法的5.45%
检测效果优于Androgurad 和Kirin.
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.
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