ICS Cyber Attack Analysis and a New Diagnosis Approach

摘要: Artificial Intelligence and Machine Learning technologies have a widespread use in many disciplines thanks to raw data processing computational power. The capabilities of these will enable the identification legal illegal traffic/behavior by classifying rapidly without damaging continuity system through high amount network traffic/behavior, which is one biggest problems field cyber security. In this respect, artificial intelligence machine learning provide valuable contributions protecting Industrial Control Systems (ICS), play an important role control critical infrastructures such as electrical power generation-transmission-distribution systems, nuclear plants, gas water, against cyber-attack. study, it aimed reveal anatomy attacks executing denial service, Start/Stop, man middle PLCs, component ICS. test environment created on real two types PLCs were analyzed. analyzes focused obtain rule sequences, can be used technologies, benefitting from sets obtained environment. way, new security approach has been for results also revealed importance PLCs’ vulnerability continuous monitoring order detect identify soon possible protect ICS maintain its functioning.