Development Of Software For Visualization of Antivirus Protection for Cyber-physical Systems

Student: Malyutin Alexander

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Applied Mathematics (Bachelor)

Year of Graduation: 2019

Approaches to the protection of industrial control system are based on the analysis of anomalies in data. These researches began to develop with the widespread elaboration of machine learning technologies. The current level of development of such techs allows creating the antivirus protection of operational technologies of industrial systems. The aim of the project is to present the work of machine learning for anomaly detection model based on real data from industrial internet of things. The machine learning model is visualized on a desktop, which allows observing the process of detection anomalies. 3D interface demonstrably displays the importance of industrial cyber security, possible risks and consequences of cyber attacks.

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