Review: A survey of network flow applications

  • Authors:
  • Bingdong Li;Jeff Springer;George Bebis;Mehmet Hadi Gunes

  • Affiliations:
  • Department of Information Technology, University of Nevada-Reno, NV 89557, United States and Department of Computer Science & Engineering, University of Nevada-Reno, NV 89557, United States;Department of Information Technology, University of Nevada-Reno, NV 89557, United States;Department of Computer Science & Engineering, University of Nevada-Reno, NV 89557, United States;Department of Computer Science & Engineering, University of Nevada-Reno, NV 89557, United States

  • Venue:
  • Journal of Network and Computer Applications
  • Year:
  • 2013

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Abstract

It has been over 16 years since Cisco's NetFlow was patented in 1996. Extensive research has been conducted since then and many applications have been developed. In this survey, we have reviewed an extensive number of studies with emphasis on network flow applications. First, we provide a brief introduction to sFlow, NetFlow and network traffic analysis. Then, we review the state of the art in the field by presenting the main perspectives and methodologies. Our analysis has revealed that network security has been an important research topic since the beginning. Advanced methodologies, such as machine learning, have been very promising. We provide a critique of the studies surveyed about datasets, perspectives, methodologies, challenges, future directions and ideas for potential integration with other Information Technology infrastructure and methods. Finally, we concluded this survey.