Machine learning to prevent cyberattacks

Together with CSI Security Group, researchers from DTU and Aalborg University are working to find new solutions aimed at preventing unintentional disclosure of information to criminals or visits to malicious, virus-infected websites. The solutions will use artificial intelligence to detect and block malicious websites and emails already before users can click on them. The research project is called SecDNS, and it has received a grant of DKK 11.3 million from Innovation Fund Denmark. The aim of the project is to create a safer cyber society. Until now, historical data has been used to establish which websites to block, but this approach does not provide sufficient protection, explains Christian D. Jensen, who heads the Section for Cyber Security at DTU Compute and participates in the SecDNS project.