BV TECH at ITASEC24, presented a new research report
Online learning techniques based on unsupervised machine learning and clustering algorithms
17/04/2024
As part of BV TECH’s participation in ITASEC ’24, the most
important national conference on cybersecurity, within the
Scientific Technical Session “AI for Cybersecurity,” the research report “Account Hijacking Detection with KATANA, a K-means Approach for Targeted user behavior ANAlysis” was presented, which was carried out as part of the research activities under the Contract of
Program “Cybersecurity and SOC Product Suite.”
Machine Learning
Our colleagues Alessio Magrì and Pietro Spalluto of the Grottaglie (TA) office, who carried out the research with Pierpaolo Artioli, illustrates how it is possible to use online learning techniques based on unsupervised Machine Learning and clustering algorithms applied to the behavioral analysis of network users to automatically identify anomalous behaviors that can be traced back to situations of credential theft (account hijacking).
The research report will later be available in the proceedings of the
conference. Congratulations again to all the authors for their work
and the result achieved.
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