Verification of the Self-Similarity of Campus Network Traffic

The self-similarity degree of network traffic is checked by computing the Hurst parameter based on the self-similar theory. In this paper, we capture packets on the campus network's backbone, and then compute the Hurst parameter to check the self-similar degree of network traffic by using the R/S method and the variance-time method. The existence of self-similarity is verified by experiments. We also discuss the network traffic abnormal detection based on the Hurst parameter's obvious changes.