A network anomaly detection method based on genetic algorithm

With the rapid development of computer network application, it is increasingly important to detect abnormal behaviors and patterns in the field of network security. In this paper, a genetic algorithm is proposed to detect the network anomaly by using Management Information Base (MIB), which is based on the theory of classification using integrated IF-THEN rules. This paper presents a new chromosome coding scheme, and a new method of sufficiency function design is discussed too. Some experiments based on a big data set from real network environment were designed and tested, the results show that this algorithm is efficient in network anomaly detection.