Behavioral graph analysis of internet applications

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations


Recent years have witnessed rapid growth of innovative and disruptive Internet services such as video streaming and peer-to-peer applications. As network traffic of these applications continues to grow, it has become a challenging task to understand their communication patterns and traffic behavior of end hosts engaging in these applications. This paper presents a novel approach based on behavioral graph analysis to study social behavior of Internet applications based on bipartite graphs and one-mode projection graphs. Through a vector of graph properties including coefficient clustering that capture social behaviors of end hosts, we discover the inherent clustered groups of Internet applications that not only exhibit similar social behavior of end hosts, but also have similar characteristics in the aggregated traffic. In addition, we demonstrate the usage of the proposed approach in detecting emerging applications and anomalous traffic patterns towards Internet applications.

Original languageEnglish (US)
Title of host publication2011 IEEE Global Telecommunications Conference, GLOBECOM 2011
StatePublished - Dec 1 2011
Event54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011 - Houston, TX, United States
Duration: Dec 5 2011Dec 9 2011

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference


Other54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011
Country/TerritoryUnited States
CityHouston, TX

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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