Research Information Security Technology Based on Machine Learning

Abstract

With the rapid development and widespread popularity of the Internet, the types and quantities of abnormal traffic are also increasing day by day. Network intrusion detection has become an important fortress to ensure network information security. People put forward more and more urgent demands for the robustness and development of network security technology. Therefore, this paper studies information security technology based on machine learning. In this paper, the concepts of network security situation assessment and network intrusion detection are described in detail at first, then the machine based learning data preprocessing module, network vulnerability level and coarse and fine granularity hybrid detection system are designed, and finally the detection performance and defense performance of fine granularity hybrid detection system are analyzed in detail, and a conclusion is drawn.