A New Method of Detecting Network Traffic Anomalies
As Internet communications and applications become more and more complex,accurately describing network traffic information and rapidly monitoring network traffic anomalies have become increasingly challenging tasks.In this paper,we present a framework and method for monitoring network traffic through measuring the dynamic changes of host communities.An unweighted and undirected host interaction network (HIN) is established through extracting the social-behavioral characteristics of network traffic.Based on social-behavior similarity in HIN,host community is defined,and then five features are proposed to capture host community changes.Finally,this method is evaluated through two real-world network traffic,and the experimental results show that the method presented in this paper can effectively capture the dynamic changes of host communities to monitor network traffic.
Complex networks Host community Host community change Network traffic monitoring Host interaction network
CAI Jun LIU Wai Xi
School of Electronic and Information Guang Dong Polytechnic Normal University Guangzhou,China Department of Electronic and Information Engineering Guang Zhou University,Guangzhou,P.R.China Guang
国际会议
杭州
英文
2801-2804
2013-03-22（万方平台首次上网日期，不代表论文的发表时间）