Machine learning to prevent cyberattacks

Combating hackers all the way. With each other with CSI Stability Group, researchers from DTU and Aalborg University are performing to come across new methods aimed at stopping accidental disclosure of information to criminals or visits to malicious, virus-contaminated websites. The methods will use artificial intelligence to detect and block malicious websites and e-mails presently just before buyers can click on on them.

The study challenge is termed SecDNS, and it has obtained a grant of DKK 11.three million from Innovation Fund Denmark. The purpose of the challenge is to create a safer cyber society.

Right until now, historical info has been applied to establish which websites to block, but this method does not deliver sufficient safety, explains Christian D. Jensen, who heads the Section for Cyber Stability at DTU Compute and participates in the SecDNS challenge.

“A info stability buzzword is ‘zero-day attacks’, which are assaults you have under

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