An exploratory development on the Hurst parameter variety of network traffic abnormity signal

Most researches regard the real traffic has selfsimilarity. Extreme bursty traffic is the most menace to the Internet. Traditionary intrusion detection system (IDS) based microcosmic viewpoint can't adapt itself to the evolution of the Internet. Real-world tests show overwhelming numbers of false alarms, miss alarms in IDS, and little success in filtering them out. This paper, aimed at DoS traffic, the performance of self-similarity traffic is analyzed. As results, Hurst parameter is the important presentiment measure for extreme bursty traffic to meeu the continuing demand of real time abnormity detection of high-speed network.