Design of Network Security Experiment Teaching System Based on Honeypot Technology

IoT information security is an introductory course in network security. Safety offensive and defense experiments are the means that students can get in contact with network attacks. Students network security protection awareness and information protection capabilities can be improved by offensive and defense experiments. At present, there is a problem with high update costs, insufficient comprehensive, complicated operation, and insufficient operation. A new way is presented in this paper to improve the current offensive exercise experiments, providing training platform for postgraduate industrial Internet security courses. It achieves this by using Generative Adversarial Networks (GAN) in honeypot to generate a virtual data for industrial equipment simulation, and using support vector machine (SVM), decision tree and other networks to detect intrusion data. And then a visualization platform is established for students to do experiment.