Clustering Models for Detecting New Intrusion Types in Data Traffic

Clustering algorithms, particularly K-means, can be effectively used to detect new and unknown types of cyberattacks in network traffic data by identifying anomalous patterns and grouping them into distinct clusters based on their characteristics.