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Android Hook Detection Based on Machine Learning and Dynamic Analysis

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Web, Artificial Intelligence and Network Applications (WAINA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1150))

Abstract

This research paper is focused on hook detection. The authors propose a machine learning algorithm and perform dynamic analysis aimed at detecting malicious code not being the app component. In this paper the authors try to confirm that the concept proposed can be used as a practical solution for detection of code modifications in dynamic applications.

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References

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland

    Michał Szczepanik, Ireneusz J. Jóźwiak, Piotr P. Jóźwiak & Michał Kędziora

  2. Department of Management, Military University of Land Forces, Wrocław, Poland

    Jolanta Mizera-Pietraszko

Authors
  1. Michał Szczepanik
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  2. Ireneusz J. Jóźwiak
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  3. Piotr P. Jóźwiak
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  4. Michał Kędziora
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  5. Jolanta Mizera-Pietraszko
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Corresponding author

Correspondence to Michał Szczepanik .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electrical Engineering and Information Technology, University of Naples “Frederico II”, Naples, Italy

    Flora Amato

  3. Department of Political Science, University of Campania Luigi Vanvitelli, Caserta, Italy

    Francesco Moscato

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  5. Department of Advanced Sciences, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Szczepanik, M., Jóźwiak, I.J., Jóźwiak, P.P., Kędziora, M., Mizera-Pietraszko, J. (2020). Android Hook Detection Based on Machine Learning and Dynamic Analysis. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2020. Advances in Intelligent Systems and Computing, vol 1150. Springer, Cham. https://doi.org/10.1007/978-3-030-44038-1_120

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