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Integration of AI and IoT Approaches for Evaluating Cybersecurity Risk on Smart City

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Artificial Intelligence-based Internet of Things Systems

Part of the book series: Internet of Things ((ITTCC))

Abstract

Cities have adopted the smart city model based on decision-making to maintain their sustainability and resilience. The decision-making process on a smart city is based on data generated in real-time for the city’s senzorization layer of physical components. For this goal, the digital abstraction of the physical aspects of city using digital twin to simulate scenarios to understand behaviors of a particular event. This study analyzes the use of artificial intelligence techniques and the IoT used in digital twin approaches to analyze cybersecurity risks in the smart city environment.

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Author information

Authors and Affiliations

  1. Facultad de Ingeniería de Sistemas, Escuela Politécnica Nacional, Escuela Politécnica Nacional, Quito, Ecuador

    Roberto O. Andrade & Sang Guun Yoo

  2. College of Engineering, Universidad Nacional de Chimborazo, Riobamba, Ecuador

    Luis Tello-Oquendo

  3. Department of Mathematics, Escuela Politécnica Nacional, Quito, Ecuador

    Miguel Flores

  4. Facultad de Ingeniería y Ciencias Aplicadas, Universidad de las Américas, Quito, Ecuador

    Ivan Ortiz

Authors
  1. Roberto O. Andrade
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  2. Sang Guun Yoo
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  3. Luis Tello-Oquendo
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  4. Miguel Flores
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  5. Ivan Ortiz
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Corresponding author

Correspondence to Roberto O. Andrade .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sister Nivedita University, Kolkata, West Bengal, India

    Souvik Pal

  2. Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal, Kolkata, West Bengal, India

    Debashis De

  3. School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

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Andrade, R.O., Yoo, S.G., Tello-Oquendo, L., Flores, M., Ortiz, I. (2022). Integration of AI and IoT Approaches for Evaluating Cybersecurity Risk on Smart City. In: Pal, S., De, D., Buyya, R. (eds) Artificial Intelligence-based Internet of Things Systems. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-87059-1_12

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  • DOI: https://doi.org/10.1007/978-3-030-87059-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87058-4

  • Online ISBN: 978-3-030-87059-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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