Abstract
Android Apps market is the largest in the world. There are some features about Android Apps: massive, diverse, uncertain behaviors and permissions. That makes detecting malicious Apps very difficult. In this paper, a two layers model based on static analysis and dynamic analysis is proposed to solve it. We name the model AndroidProtect. We can use AndroidProtect to calculate feature value of massive Apps, monitor behavior of target Apps. The first layer identifies the dangerous Apps, The second layer analyzes their behavior. The experimental results show that in the case of similar static feature value, the dynamic analysis can fix deviation, and we can get more accurate assessment.
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Acknowledgement
Authors are partially supported by Colleges and Universities in Hubei Provincial College Students’ Innovative Entrepreneurial Training Program (No. 201510488006).
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhang, T., Li, T., Wang, H., Xiao, Z. (2017). AndroidProtect: Android Apps Security Analysis System. In: Wang, S., Zhou, A. (eds) Collaborate Computing: Networking, Applications and Worksharing. CollaborateCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 201. Springer, Cham. https://doi.org/10.1007/978-3-319-59288-6_58
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DOI: https://doi.org/10.1007/978-3-319-59288-6_58
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