Nfsight: netflow-based network awareness tool

  • Authors:
  • Robin Berthier;Michel Cukier;Matti Hiltunen;Dave Kormann;Gregg Vesonder;Dan Sheleheda

  • Affiliations:
  • Coordinated Science Laboratory, Information Trust Institute, University of Illinois, Urbana-Champaign, IL;The Institute for Systems Research, Clark School of Engineering, University of Maryland, College Park, MD;AT&T Labs Research, Florham Park, NJ;AT&T Labs Research, Florham Park, NJ;AT&T Labs Research, Florham Park, NJ;AT&T Labs Research, Florham Park, NJ

  • Venue:
  • LISA'10 Proceedings of the 24th international conference on Large installation system administration
  • Year:
  • 2010

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Abstract

Network awareness is highly critical for network and security administrators. It enables informed planning and management of network resources, as well as detection and a comprehensive understanding of malicious activity. It requires a set of tools to efficiently collect, process, and represent network data. While many such tools already exist, there is no flexible and practical solution for visualizing network activity at various granularities, and quickly gaining insights about the status of network assets. To address this issue, we developed Nfsight, a Net-Flow processing and visualization application designed to offer a comprehensive network awareness solution. Nfsight constructs bidirectional flows out of the unidirectional NetFlow flows and leverages these bidirectional flows to provide client/server identification and intrusion detection capabilities. We present in this paper the internal architecture of Nfsight, the evaluation of the service, and intrusion detection algorithms. We illustrate the contributions of Nfsight through several case studies conducted by security administrators on a large university network.