A webinar based on insights from the TRUST project explored practical challenges related to trustworthy AI, resilient wireless communications, and connected systems. The event was organized on May 26 in collaboration with Mid Sweden University and the University of Vaasa.
Watch the webinar recording below.
As AI and connected systems become part of business-critical operations, responsibility for security and reliability often spans across IT, operations, suppliers and cloud providers, This can create hidden risks and unclear ownership, as explained Kyi Thar, Senior Lecturer at Mid Sweden University.
Noman Chowdhury, Doctoral Researcher at the University of Vaasa, also highlights emerging threats targeting Global Navigation Satellite Systems (GNSS), which provide positioning, navigation and timing (PNT) services used in smartphones, transportation and critical infrastructure. Using a Deep Q-Network (DQN)-based machine learning approach, the presentation demonstrates how GNSS spoofing attacks and signal disturbances can be detected and classified, using examples from recent real-world incidents.
Together, the presentations showcase how the TRUST project contributes to improving the security, resilience, and trustworthiness of future digital and connected systems.
This event was part of the research project TRUST – Enhancing Wireless Communication & Sensing with Secure, Resilient, and Trustworthy Solutions, funded with support from Interreg Aurora EU programme. The project is a collaboration between Mid Sweden University and University of Vaasa.
