A. I. Plavan

ALGORITHM FOR IDENTIFYING NUMERICAL INDICATORS OF NETWORK TRAFFIC ANOMALIES BASED ON A RANDOM FOREST MODEL

This paper presents an algorithm that extracts numerical threshold values from a random forest model for detecting anomalies caused by various types of network attacks. It allows an identification of both individual threshold values and ranges of normal or anomalous values, as well as the assessment of their statistica...