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Malware Detection Among Contact Tracing Apps with Deep Learning

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Computational Collective Intelligence (ICCCI 2024)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14811))

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Abstract

Contact tracing has built into a cost-effective social tool, complementary for the prevention and containment of the coronavirus and similar pandemics. Especially these days that meningitis, influenza, but also streptococcus and respiratory syncytial virus (RSV) are on the rise and affect vulnerable populations, e.g. young children, whose immune system is unprepared due to lack of exposure to common viruses during the recent pandemic, contact tracing apps can be used to detect behavioural trends of the users and contribute to outbreak management. This work suggests a comprehensive framework for the identification of malware within contact tracing applications, leveraging deep learning technology, and experimentally corroborates its efficiency. We also introduce a safe and efficient retrieval mechanism for apps associated with the Sustainable Development Goal (SDG) 3 associated with communicable diseases. We aspire to contribute to the safe dissemination of tracing apps in the era of contagious viruses.

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Author information

Authors and Affiliations

  1. School of Electrical and Computer Engineering, National Technical University of Athens, 9 Heroon Polytechneiou Street, Zografou Campus, 157 80, Athens, Greece

    Irene Kilanioti

  2. Department of Computer Science, University of Cyprus, 1 University Avenue, Aglantzia, 2109, Nicosia, Cyprus

    George A. Papadopoulos

Authors
  1. Irene Kilanioti
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  2. George A. Papadopoulos
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Corresponding author

Correspondence to Irene Kilanioti .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. University of Leipzig, Leipzig, Germany

    Bogdan Franczyk

  3. University of Leipzig, Leipzig, Sachsen, Germany

    André Ludwig

  4. Universidad Complutense de Madrid, Madrid, Spain

    Manuel Núñez

  5. Vrije Universiteit Amsterdam, Amsterdam, Noord-Holland, The Netherlands

    Jan Treur

  6. University of Münster, Münster, Germany

    Gottfried Vossen

  7. Wrocław University of Science and Technology, Wrocław, Poland

    Adrianna Kozierkiewicz

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Kilanioti, I., Papadopoulos, G.A. (2024). Malware Detection Among Contact Tracing Apps with Deep Learning. In: Nguyen, N.T., et al. Computational Collective Intelligence. ICCCI 2024. Lecture Notes in Computer Science(), vol 14811. Springer, Cham. https://doi.org/10.1007/978-3-031-70819-0_11

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  • DOI: https://doi.org/10.1007/978-3-031-70819-0_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-70818-3

  • Online ISBN: 978-3-031-70819-0

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