A Fuzzy Anomaly Detection System Based on Genetic Algorithm for IPv6
Shuyu Liu · Microelectronics & Computer · 2006
We designed and implementod a fuzzy anomaly detection rules generation technology for IPv6 using genetic algorithm and detect the anomaly using fuzzy detection rules.The proposed anomaly detection model is designed as flexible,extendible,and adaptable in order to meet the needs and preferences of network administrators and can be also supplied for IPv6 environment.The result of the test shows that the anomaly detection model provided in this paper has two advantages:algorithm performance and detection effect,and it can be applied to protect the next generation Internet.