Titre : Estimation of Attacks via Generalized Dynamic Observer
Résumé : With the evolution of Industry 4.0 in various industrial and social fields, a series of systems integrating cyber and physical components, known as cyber-physical systems (CPS), have emerged. These systems have significantly expanded possibilities by incorporating knowledge from computer engineering, communications, and automatic control. These systems present various vulnerabilities that attackers can exploit to affect or degrade the functioning of CPS. Therefore, CPS are exposed to security risks, as the connectivity that they use and their dependence on digital technology can be exploited by different attackers to cause damage, manipulate their operation, or steal information.
The observer theory provides the foundation for the detection, estimation, and mitigation of attacks, thereby enabling the development of techniques that enhance the security and integrity of the systems. By allowing a precise estimation of the attack behavior and integrating with control systems, generalized dynamic observators offer an additional layer of protection, improving resilience and recovery capacity against potential attacker intrusions. The approach presented in this talk is based on a generalized dynamic observers (GDO), which not only aimes at providing an estimation and detection tool but also at expanding the application of automatic control theory to cyber-physical systems under attack.
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