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Method of Smartphone Users’ Information Protection Based on Composite Behavior Monitor

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Intelligent Computing Technology (ICIC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7389))

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Abstract

For the users’ information of the Smartphone disclosure issues, a method of users’ information secure for the Smartphone has been researched. Based on hidden Markov model and fuzzy pattern recognition model, the paper proposes a compound monitoring approach which use the heuristic scanning-behavior block monitoring, to discriminate the behavior of the program whether is malicious. Finally, the paper introduces a method for testing Smartphone users’ information protection. The results show that this method is able to well implement to monitor and block the malicious behavior of the program.

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Author information

Authors and Affiliations

  1. Research Institute of Electronic Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan Province, P.R.China

    Hua Zha & Chunlin Peng

Authors
  1. Hua Zha
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  2. Chunlin Peng
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Editor information

Editors and Affiliations

  1. School of Electronics and Information Engineering, Machine Learning and Systems Biology Laboratory, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    Changjun Jiang

  3. Electrical and Electronics Department, Polytechnic of Bari, Via Orabona, 4, 70125, Bari, Italy

    Vitoantonio Bevilacqua

  4. Faculty of Engineering, District University Francisco José de Caldas, Cra. 7a No. 40-53, Fifth Floor, Bogotá, Colombia

    Juan Carlos Figueroa

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© 2012 Springer-Verlag Berlin Heidelberg

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Zha, H., Peng, C. (2012). Method of Smartphone Users’ Information Protection Based on Composite Behavior Monitor. In: Huang, DS., Jiang, C., Bevilacqua, V., Figueroa, J.C. (eds) Intelligent Computing Technology. ICIC 2012. Lecture Notes in Computer Science, vol 7389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31588-6_33

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  • DOI: https://doi.org/10.1007/978-3-642-31588-6_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31587-9

  • Online ISBN: 978-3-642-31588-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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