ANOMOLY DETECTION USING COLLABORATIVE FILTERING

Described are techniques for network anomaly detection. The techniques include generating, from network traffic, a plurality of network interactions, where respective network interactions comprise a communication source and a communication destination. The techniques further include generating, for the respective network interactions, a recommendation score using a trained Collaborative Filtering (CF) model. The techniques further include calculating, for the respective network interactions, an outlier score based on the recommendation score. The techniques further include generating a notification identifying an anomaly in the network traffic based on at least one outlier score satisfying a threshold.