Research on Intrusion Detection Technology of Electric Control System Based on Machine Learning

With the continuous development of network and information technology, especially the continuous promotion of Made in China 2025, industrial control system has become an important support system of modern industrial infrastructure including electricity, petroleum, transportation and so on, and is closely linked to the national security, social stability and economic lifeline. A cyber-attack on these industrial control systems could endanger public life and national security. This paper first analyzes the industrial control network in detail, introduces the relevant security protection technology used in the current industrial control network, and proposes an intrusion detection system framework that can be applied to the industrial control network.