{"id":3012,"date":"2026-01-27T08:30:00","date_gmt":"2026-01-27T07:30:00","guid":{"rendered":"https:\/\/app.gate-31.com\/?p=3012"},"modified":"2026-01-29T15:00:11","modified_gmt":"2026-01-29T14:00:11","slug":"protecting-the-future-of-autonomous-transport-a-major-technological-challenge","status":"publish","type":"post","link":"https:\/\/app.gate-31.com\/index.php\/2026\/01\/27\/protecting-the-future-of-autonomous-transport-a-major-technological-challenge\/","title":{"rendered":"Protecting the future of autonomous transport: a major technological challenge"},"content":{"rendered":"\n

Within the framework of the European project SovereignEdge.COGNIT[1]<\/sup><\/a>, the Belgian research center CETIC<\/strong> and SUSE<\/strong> are addressing key cybersecurity challenges at the core of smart and autonomous mobility systems.<\/p>\n\n\n\n

Cybersecurity as a key enabler of smart mobility<\/strong><\/p>\n\n\n\n

Smart mobility is transforming the way people and goods move. From intelligent traffic systems to autonomous vehicles, digital technologies are making transportation cleaner, faster, and more efficient.<\/p>\n\n\n\n

However, this increased connectivity introduces new risks: cyberattacks can disrupt traffic flows and, in the most severe cases, endanger human lives.<\/p>\n\n\n\n

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\u201cLarge volumes of personal and operational data must be protected. Edge computing, which involves processing data as close as possible to vehicles and roadside infrastructure, adds an additional layer of complexity to security. Ensuring trust in these systems is essential for their widespread adoption<\/em>\u201d emphasizes Nikolaos Matskanis, Senior Project Manager, and project lead at CETIC.<\/p>\n<\/blockquote>\n\n\n

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Nikolaos Matskanis is Senior Project Manager and project lead at CETIC.<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n

Artificial Intelligence in support of smart mobility<\/strong><\/p>\n\n\n\n

Within this project, CETIC and SUSE have successfully developed an artificial intelligence-driven anomaly detection function. This application enables the identification of threats, defined as deviations from normal system behavior, such as:<\/p>\n\n\n\n