Digging into ip flow records with a visual kernel method

  • Authors:
  • Cynthia Wagner;Gerard Wagener;Radu State;Thomas Engel

  • Affiliations:
  • University of Luxembourg - SnT, Luxembourg, Luxembourg;University of Luxembourg - SnT, Luxembourg, Luxembourg;University of Luxembourg - SnT, Luxembourg, Luxembourg;University of Luxembourg - SnT, Luxembourg, Luxembourg

  • Venue:
  • CISIS'11 Proceedings of the 4th international conference on Computational intelligence in security for information systems
  • Year:
  • 2011

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Abstract

This paper presents a network monitoring framework with an intuitive visualization engine. The framework leverages a kernel method with spatial and temporal aggregated IP flows for the off/online processing of Netflow records and full packet captures from ISP and honeypot input data and is operating on aggregated Netflow records and is supporting network management activities related to the anomaly and attack detection.