C4IIoT at the ECMI 2021
The series of European Consortium for Mathematics in Industry (ECMI) conferences are devoted to enforcing the interaction between academy and industry, leading to innovations in both fields. These events have attracted leading experts from business, science, and academia, and have promoted the application of novel mathematical technologies to industry.
The 21st ECMI Conference on Industrial and Applied Mathematics (ECMI 2021) was hosted online by the Bergische Universität Wuppertal from April 13th to April 15th 2021.
C4IIoT partner UNSPMF presented the project during the 21st ECMI Conference on Industrial and Applied Mathematics. More specifically, Dr. Dusan Jakovetic made a talk titled “Anomaly detection for cybersecurity in industrial internet of things” as part of a mini symposium which aimed at addressing different mathematical challenges coming from Big Data problems, in broad sense – either in the sense of development of optimization and statistical methods for modelling and solving problems that arise in real life decision process, applications to modelling complex system and analysing their outputs.
In his talk Dr. Jakovetic provided an overview of the IIoT cybersecurity framework that is being developed within the C4IIoT. As Dr. Jakovetic pointed out, within C4IIoT framework, it is described how machine learning-based anomaly detection tools can be utilized to detect relevant threats within the IIoT system and illustrate the resulting anomaly detection performance through application examples.