On the self-similar nature of Ethernet traffic
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
On power-law relationships of the Internet topology
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Self-similar and fractal nature of internet traffic
International Journal of Network Management
The internet AS-level topology: three data sources and one definitive metric
ACM SIGCOMM Computer Communication Review
Network monitoring using traffic dispersion graphs (tdgs)
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
First Person Shooter Multiplayer Game Traffic Analysis
ISORC '08 Proceedings of the 2008 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing
Internet traffic behavior profiling for network security monitoring
IEEE/ACM Transactions on Networking (TON)
On dominant characteristics of residential broadband internet traffic
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Proceedings of the ACM SIGCOMM 2010 conference
A Survey of First-Person Shooter Gaming Traffic on the Internet
IEEE Internet Computing
Quantifying the accuracy of the ground truth associated with Internet traffic traces
Computer Networks: The International Journal of Computer and Telecommunications Networking
Graption: A graph-based P2P traffic classification framework for the internet backbone
Computer Networks: The International Journal of Computer and Telecommunications Networking
A Survey on Internet Traffic Identification
IEEE Communications Surveys & Tutorials
A power laws-based reconstruction approach to end-to-end network traffic
Journal of Network and Computer Applications
Toward an efficient and scalable feature selection approach for internet traffic classification
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Internet traffic characterization has a profound impact on network engineering and traffic identification. Existing studies are often carried out on a per-flow basis, focusing on the properties of individual flows. In this paper, we study the interaction of Internet traffic flows and network features from a complex network perspective, focusing on six types of applications: P2P file sharing, P2P stream, HTTP, instant messaging, online games and abnormal traffic. With large-volume traffic flow records collected through proprietary line-speed hardware-based monitors, we construct flow graphs of these different application types. Based on the flow graphs, we calculate the correlation coefficients on various properties for individual or multiple applications. Our studies on associativity among degree and strength of individual hosts and connected nodes reveal distinct correlative behavior of different types of applications. Especially, the correlations of P2P applications are observed to be much stronger than those of the other applications. We also investigate the correlations between different types of applications, and observe that HTTP has remarkably different correlations from those of the two P2P applications due to the fact that multiple application types rely on HTTP. Finally, we study the dynamics of correlations for a period of 24h and reveal a few interesting trends. We believe that our work which focuses on the assortativities of Internet applications provides insightful understanding on Internet traffic classification of up-to-date applications and will be helpful for Internet traffic classification and engineering.