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A New Proposal for Detection and Location of Cyberattacks in Industrial Processes

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Progress in Artificial Intelligence and Pattern Recognition (IWAIPR 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14335))

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Abstract

In the Industry 4.0 paradigm, the cybersecurity is a key aim to obtain high levels of performance of the industries based on the use of the IoT technology and the Big Data analysis. To achieve this objective, the cyberphysical industrial plants must be equipped with cybersecurity systems for early detection and location of cyberattacks. This paper presents a robust approach of an industrial cybersecurity system by using non-standard Pythagorean membership grades. The proposed scheme was validated using the Two-Tanks benchmark with excellent results. The proposal was compared with other computational intelligence tools recently presented in the scientific literature, and the results showed the best performance of the proposed scheme.

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Acknowledgements

The authors acknowledge the financial support provided by FAPERJ, Fundacão Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; CNPq, Consehlo Nacional de Desenvolvimento Científico e Tecnológico; CAPES, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, research supporting agencies from Brazil and the project PN223LH004-23 from the Science and Technology National Program in Automation, Robotic and Artificial Intelligence (ARIA) of the Ministry of Science, Technology and Environment (CITMA) of Cuba.

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Authors and Affiliations

  1. Universidad Tecnológica de la Habana José Antonio Echeverría, CUJAE, La Habana, Cuba

    Adrián Rodríguez-Ramos & Orestes Llanes-Santiago

  2. Universidad del País Vasco, Bilbao, Spain

    Eloy Irigoyen

  3. Instituto-Politécnico - Universidade do Estado do Rio de Janeiro, Nova Friburgo, RJ, Brazil

    Antônio J. da Silva Neto

Authors
  1. Adrián Rodríguez-Ramos
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  2. Eloy Irigoyen
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  3. Antônio J. da Silva Neto
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  4. Orestes Llanes-Santiago
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Corresponding author

Correspondence to Orestes Llanes-Santiago .

Editor information

Editors and Affiliations

  1. Universidad de las Ciencias Informáticas, Havana, Cuba

    Yanio Hernández Heredia

  2. Universidad de las Ciencias Informáticas, Havana, Cuba

    Vladimir Milián Núñez

  3. Universidad de las Ciencias Informáticas, Havana, Cuba

    José Ruiz Shulcloper

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Rodríguez-Ramos, A., Irigoyen, E., da Silva Neto, A.J., Llanes-Santiago, O. (2024). A New Proposal for Detection and Location of Cyberattacks in Industrial Processes. In: Hernández Heredia, Y., Milián Núñez, V., Ruiz Shulcloper, J. (eds) Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2023. Lecture Notes in Computer Science, vol 14335. Springer, Cham. https://doi.org/10.1007/978-3-031-49552-6_9

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  • DOI: https://doi.org/10.1007/978-3-031-49552-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49551-9

  • Online ISBN: 978-3-031-49552-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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