In order to accomplish the anomaly detection based on IPv6

we developed a novel anomaly detection model using a fuzzy anomaly detection rules generation technology for IPv6 with genetic algorithm.In the model

we optimize the initial population using Hash algorithm

encode the population using random real values

and detect the anomaly using fuzzy detection rules.Finally

using the CERNET2 backbone traffic

this paper analyzes the performance of the model and compares with the performance of snort.This study shows that the anomaly detection model provided in this paper has two advantages: algorithm performance and detection effect.