Titlebook: International Joint Conference 15th International Conference on Computational Intelligence in Securi; Proceedings Pablo García Bringas,Hild

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Genetic Algorithm Based Aggregation for Federated Learning in Industrial Cyber Physical Systemsitutions. These kinds of systems have proved to be very complicated, and it may be a difficult task to get a handle on their architecture and make sure everything works properly. By putting up a framework for federated learning that we’ve dubbed .  the purpose of this study is to address some of the

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Prediction of Smart Energy Meter Network Traffic Features for Anomaly Detectionth the use of a radio sensory network. The structure of the examined measurement network is presented and described. The signals analysed in the article represent selected features of the smart metering network traffic. The initial step involves the use of Isolation Forest algorithm for detection an

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An Anomaly Detection Approach for Realtime Identification Systems Based on Centroidsal is based on combining the real-time identification algorithm, Recursive Least Squares, with a centroid-based methodology. For anomaly detection, the method compares the current system dynamics with the average (centroid) of the dynamics identified in previous states for a specific setpoint. If th

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