Detecting sensitive data leakage via inter-applications on Android using a hybrid analysis technique

被引：4
|
作者：
Nguyen Tan Cam [1 ]
Van-Hau Pham [2 ]
Tuan Nguyen [2 ]
机构：
[1] Hoa Sen Univ, Ho Chi Minh City, Vietnam
[2] Vietnam Natl Univ, Univ Informat Technol, Ho Chi Minh City, Vietnam
来源：
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2019年 / 22卷 / Suppl 1期
关键词：
Android security; Hybrid analysis; Inter-application communication; Sensitive data leakage detection; MALWARE DETECTION;
D O I：
10.1007/s10586-017-1260-2
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this study, we present the uitHyDroid system, which allows the detection of sensitive data leakage via multi-applications using hybrid analysis. uitHyDroid uses static analysis to collect user interface elements that must interact to illuminate possible sensitive data flows. In addition, dynamic analysis is used to capture inter-application communications to link partial sensitive data flows from static analysis. This approach is faster than using only dynamic analysis. In this study, we use hooking technology to conduct dynamic analysis phase emulator modification. The experimental results show that the proposed system can detect most sensitive data leakages for both our dataset and real-world applications.
引用
收藏
页码：1055 / 1064
页数：10
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