Automating the analysis of honeypot data

Olivier Thonnard, Jouni Viinikka, Corrado Leita, Marc Dacier

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


We describe the on-going work towards further automating the analysis of data generated by a large honeynet architecture called 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. © 2008 Springer-Verlag Berlin Heidelberg.
Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number of pages2
StatePublished - Nov 27 2008
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2022-09-12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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