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VizSEC 2007 pp 255-273 | Cite as

Using InetVis to Evaluate Snort and Bro Scan Detection on a Network Telescope

  • B. Irwin
  • J. -P. van Riel
Part of the Mathematics and Visualization book series (MATHVISUAL)

Abstract

This paper presents an investigative analysis of network scans and scan detection algorithms. Visualisation is employed to review network telescope traffic and identify incidents of scan activity. Some of the identified phenomena appear to be novel forms of host discovery. Scan detection algorithms used by the Snort and Bro intrusion detection systems are critiqued by comparing the visualised scans with alert output. Where human assessment disagrees with the alert output, explanations are sought by analysing the detection algorithms. The Snort and Bro algorithms are based on counting unique connection attempts to destination addresses and ports. For Snort, notable false positive and false negative cases result due to a grossly oversimplified method of counting unique destination addresses and ports.

Keywords

Intrusion Detection Intrusion Detection System False Negative Case Destination Address IPv4 Address 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • B. Irwin
    • 1
  • J. -P. van Riel
    • 1
  1. 1.Rhodes UniversityGrahamstownSouth Africa

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