Intrusion Detection System Based on Data Mining Technics for Industrial Networks

Security of the critical infrastructure of automated process control system under the conditions of the automation level of modern production in the Russian Federation and around the world is becoming an increasing priority and is one of the most important components of the digital economy. The attacks of malicious persons are constantly improving, becoming combined and spread almost instantly. Intrusion detection systems implement monitoring functions and detect attacks that have bypassed the firewall. The means to ensure the information security of process control systems at this stage of their development are not able to withstand such threats. To solve this problem, network attacks detection systems based on the use of artificial intelligence methods is proposed. The research describes the analysis of modern approaches to the network attacks detection, structure of detection system based on data mining methods and comparison between different data mining algorithms.