An anomaly is an abnormal activity or deviation from the normal behavior .Anomaly detection is the process of removing these abnormal or anomalous behavior from data or services. In this paper, the authors present a novel method for the detection of anomaly in network. The proposed detection algorithm, is a hybrid algorithm. It is combination of two algorithm genetic and SVM. Experimental results demonstrate to be superior to existing k-mean algorithm. One of the most common problems in existing K means detection techniques is that one must specify the clusters in advance and further the algorithm is very sensitive of noise, mixed pixels and outliers.