Abstract
It is an uncertain problem that evaluating the security of Android Apps. We can’t be sure of the danger with sensitive permissions in an individual of Apps. Permissions are an important factor in security decisions of Apps. For the Apps security evaluation, the paper proceed from the Android permission mechanism, proposes a classified dynamic security evaluation method. Apps security evaluation system include the large-scale permissions capturing and classification risk evaluation algorithm. The system could find the minimum permissions which are the common features of Apps. The minimum permissions can be dynamically changed according to different classified Apps. We adopt Euclidean distance-based similarity calculation algorithm to evaluate risk. The difference value determines the APP’s malicious risk. Experiments prove that the system has reference value to the APP security 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), National Natural Science Foundation of China (No.61273225), Humanities and Social Sciences Foundation of Education Ministry of Hubei Province (No.2012D111).
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© 2016 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, H., Li, T., Zhang, T., Wang, J. (2016). Android Apps Security Evaluation System in the Cloud. In: Guo, S., Liao, X., Liu, F., Zhu, Y. (eds) Collaborative Computing: Networking, Applications, and Worksharing. CollaborateCom 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 163. Springer, Cham. https://doi.org/10.1007/978-3-319-28910-6_14
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DOI: https://doi.org/10.1007/978-3-319-28910-6_14
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