An adaptive model of a distributed intrusion detection system
В. В. Платонов, P. O. Semenov · Automatic Control and Computer Sciences · 2017
We have proposed an adaptive model of a system for detecting intrusions in a distributed computer network. The basis of the detection system consists of various data-mining methods that make it possible to classify network interaction as normal or anomalous using many attributes extracted from network traffic.