A design of NetFlow traffic statistic and analysis system for process of the transition of commercialization of IPV6

The high-speed development of the Internet has brought up a huge challenge for network management. Larger network traffic and more complex applications make it difficult for the original SNMP-based network management software to meet demands of analyzing users and protocols; widespread utility of dynamic ports greatly reduces the accuracy of distinguishing application layer protocols based on tranditional static ports. Since raw NetFlow is enormous, unfit for long-term storage and low in query efficiency, multiple time granularity aggregation schemes are designed. This paper describes characteristics of both real-time and history traffic from five aspects, thus providing a clearer view of network operating conditions. Besides, as the indicator of users' web access behavior, web sites and URLs are analyzed.

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“…Zhang J. and Liu Y. [18][19] et al constructed NetFlow IPv6 traffic monitoring and behavior analysis system.…”

Section: Introductionmentioning

confidence: 99%

“…Existing research on IP network behavior analysis mainly focus on traffic pattern analysis [1][2][3][4][5][6][7][8] , anomaly detection [9][10][11][12] , traffic classification and application protocol identification [13] , user behavior analysis and model building [14 -16] , analysis system building [15][16][17][18][19][20] .…”

Section: Introductionmentioning

confidence: 99%