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Research on data mining of permissions mode for Android malware detection

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Abstract

Android system uses a permission mechanism to allow users and developers to regulate access to private information and system resources required by Android applications (apps). Permissions can be behaviors and characteristics of an app, and widely used by Android malware detection. This paper designs a novel method to extract contrasting permission patterns for comparing the differences between Android benign apps and malware based on permissions, and use these differences to detect Android malware. Unlike existing works, this work first analyzes required and used permission. Then use support-based permission candidate method to mining unique required or used permission patterns, and use these patterns to detect Android malware. In experiment, this approach uses permission patterns from Android malware to detect a mixed Android app dataset. The results show that the proposed method can achieve 94% accuracy, 5% false positive, and 1% false negative.

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Acknowledgements

The Project was supported by the National Natural Science Foundation of China (No. 61402185), Science Foundation of Guangdong Provincial Communications Department (grant number 2015-02-064), Natural Science Foundation of Guangdong Province (No. 2015A030313382), Guangdong Provincial Public Research and Capacity Building Foundation funded project (No. 2015A020217011 & 2016A020223012), STPF of University in Shandong Province of China (J17KA161), and South China Normal University–Bluedon Information Security Technologies Co., Ltd joint laboratory project LD20170201.

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Authors and Affiliations

  1. Department of Information Engineering, Guangzhou Huashang vocational college, Guangzhou, 511300, China

    Chao Wang & Qingzhen Xu

  2. School of Mathematical Sciences, Qufu Normal University, Qufu, 273165, China

    Xiuli Lin

  3. School of Physics and Telecommunications Engineering, South China Normal University, Guangzhou, 510631, China

    Shouqiang Liu

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  1. Chao Wang
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  2. Qingzhen Xu
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  3. Xiuli Lin
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  4. Shouqiang Liu
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Correspondence to Qingzhen Xu.

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Wang, C., Xu, Q., Lin, X. et al. Research on data mining of permissions mode for Android malware detection. Cluster Comput 22 (Suppl 6), 13337–13350 (2019). https://doi.org/10.1007/s10586-018-1904-x

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