| Etablissement | Université 8 mai 1945 de Guelma | | Affiliation | Département d'Electrotechnique et automatique | | Auteur | BOUDALIA, Riad | | Directeur de thèse | KECHIDA (Professeur) | | Filière | Automatique et Informatique Industrielle | | Diplôme | Doctorat LMD | | Titre | Contribution to the cyber security of cyber-physical systems within the context of Industry 5.0 using artificial intelligence | | Mots clés | Cognitive cyber physical systems (C-CPS), decision and diagnosis, artificial intelligence, industry 5.0, security systems, Big Data. | | Résumé | As part of its fifth revolution, the industrial world is undergoing a strong digitalization in all sectors of activity with the fusion of human cognition in cyber-physical and human systems “C-CPS”. The research work of this thesis fits into a context of transition towards the industry of the future, and more specifically in the energy industries of transport and distribution of electricity. This research work thus responds to the problem of integrating “Big Data” industrial data and knowledge, as a support for cyber-physical decision support systems.
This thesis will propose contributions for the design of future “C-CPS” and for the structuring of data and “Big Data” knowledge, necessary for the implementation of future cognitive cyber physical systems. Thanks to traceability functions, the system capitalizes on the description of the characteristics of all particular events and malicious phenomena, of cyber security origin, which may appear at the time of system operation. The diagnostic and decision support function makes it possible to understand the causes of these cyber-attacks. The bottom line is that humans do not interface directly with the data, but rather with the possibilities produced by AI data processing to secure them and making the right decisions and diagnosis. | | Statut | Validé |
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