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K. Xu, Z. Zhang, and S. Bhattacharyya, "Profiling Internet Backbone Traffic: Behavior Models and Applications", in ACM SIGCOMM 2005, Aug 2004.
Profiling Internet Backbone Traffic: Behavior Models and Applications
Authors: K. Xu
Z. Zhang
S. Bhattacharyya
Published: ACM SIGCOMM, 2004
URL:http://conferences.sigcomm.org/sigcomm/2005/paper-XuZha.pdf
Entry Dates: 2009-02-06
Abstract: Recent spates of cyber-attacks and frequent emergence of applications affecting Internet traffic dynamics have made it imperative to develop effective techniques that can extract, and make sense of, significant communication patterns from Internet traffic data for use in network operations and security management.In this paper, we present a general methodology for building comprehensive behavior profiles of Internet backbone traffic in terms of communication patterns of end-hosts and services.Relying on data mining and information-theoretic techniques, the methodology consists of significant cluster extraction, automatic behavior classification and structural modeling for in-depth interpretive analyses.W e validate the methodology using data sets from the core of the Internet.The results demonstrate that it indeed can identify common traffic profiles as well as anomalous behavior patterns that are of interest to network operators and security analysts.
Results:
  • datasets: packet header traces (the first 44 bytes for each packet) collected on Internet backbone links in a tier-1 ISP; aggregated into flows; 2004/2003;
  • methodology consists of significant cluster exraction, automatic behavior classification and strutural meodling for in-depth interpretive analyses;
  • building comprehensive behavior profiles of Internet backbone traffic in terms of communication patterns of end-hosts and services;
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