Analysis and Research on Self-similarity of Campus Network Traffic
WU Minb · Jisuanji gongcheng · 2012
For the campus network and other small-scale local area network,the abnormal traffic can not be detected rightly by calculating self-similarity value directly.Based on analyzing the characteristics of the campus network traffic,it decomposes traffic into trend and random components and other items,uses Empirical Mode Decomposition(EMD) to eliminate traffic trend items,and makes the self-similarity value direct response to the state of random items.Experimental results show that this method can improve the accuracy of abnormal traffic detection.