Automating the Analysis of Honeypot Data (Extended Abstract)

  • Authors:
  • Olivier Thonnard;Jouni Viinikka;Corrado Leita;Marc Dacier

  • Affiliations:
  • Institut Eurecom,;France Telecom R&D,;Institut Eurecom,;Symantec Research Labs, France

  • Venue:
  • RAID '08 Proceedings of the 11th international symposium on Recent Advances in Intrusion Detection
  • Year:
  • 2008

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Abstract

We describe the on-going work towards further automating the analysis of data generated by a large honeynet architecture called Leurre.com and SGNET. The underlying motivation is helping us to integrate the use of honeypot data into daily network security monitoring. We propose a system based on two automated steps: i)the detection of relevant attack events within a large honeynet traffic data set, and ii)the extraction of highly similar events based on temporal correlation.