Rodríguez-Ramos, A., Irigoyen, E., Silva Neto, A. J. e Llanes-Santiago, O., A New Proposal for Detection and Location of Cyberattacks in Industrial Process. In: Y. Hernandez Heredia et al.,pp. 96-107 Lecture Notes in Computer Science – LNCS, vol. 14335, 8th International Congress on Artificial Intelligence and Pattern Recognition 2023 (IWAIPR 2023), ISSN 0302-9743, ISBN 978-3-031-49552-6, Editora Springer, Cham, 2024.
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.