Abstract: In recent years, benefiting from the mature application of communication, big data, cloud computing and other technologies, “ Internet + ” has been widely popularized in people’s livelihood, economy and government affairs. With the rapid increase of equipment and explosive growth of data, the network environment becomes increasingly complex and brings huge hidden dangers to network security. The need for the development of network security technology and how to apply artificial intelligence AI(Artificial Intelligence) to help solve some problems is introduced. And how to apply machine learning ML(Machine Learning) to improve network security performance is analyzed in detail for specific domain or specific network technology. First, we summarize existing research work on using AI to combat cyber attacks, including using traditional machine learning approaches and existing deep learning solutions. We then analyzed the counterattacks that the AI itself might be subjected to, dissected their characteristics, and classified the appropriate defenses. We also provide some advanced concepts of artificial intelligence network security technology i. e. how to better apply artificial intelligence to the field of network security in the future.

Key words: machine learning, network security, artificial intelligence, defense technology