The convergence of sensors, processors, and actuators has transformed purely physical water systems into cyber-physical. Advances in machine learning and artificial intelligence are making cyber-physical systems unique in performance and efficiency. The emergence of cyber-physical systems holds great promise, but it also increases the exposure to cyber threats. The relevance for implementing digital technologies in the water domain has to rely on the identification of its benefit versus the potential increased vulnerability. To this end, STOP-IT has developed solutions and best practice to protect water critical infrastructure against physical and cyber threats. STOP-IT has been running for two years now and most of the solutions are ready for demonstration. While Norwegian water utilities are quite mature in protecting the water assets from physical threats, there is a need to provide solutions to detect, prevent and react to cyber threats and to help developing risk management plans for the integrated cyber-physical layers. STOP-IT_N aims at supporting the Norwegian water sector digital transformation, by using the requested funding to increase the STOP-IT impact in Norway. The activities planned are: 1 workshop with expert communities to share knowledge and identify cybersecurity gaps in practice and in research and the outcomes of the workshop will be published in a technical magazine (VANN); training activities for students and water utilities operators; participation to the leading international water conference (IWA 2020) to showcase the results of STOP-IT; the production of a practical guide, tailored to the Norwegian priorities, to introduce cyber security by design in treatment plants and to be made freely available; 1 final conference to present the guide, receive feedback for its finalization and to let directly Oslo VAV and Bergen Kommune share with other water utilities the knowledge and know-how from STOP-IT.
Project leader: Rita Ugarelli
Category: Teknisk-industrielle institutter
Institution: SINTEF AS