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Falko Dressler, Wolfgang Jaegers and Reinhard German, "Flow-based Worm Detection using Correlated Honeypot Logs," Proceedings of 15. GI/ITG Fachtagung Kommunikation in Verteilten Systemen (KiVS 2007), Bern, Switzerland, February 2007, pp. 181–186.


Attack detection in high-speed networks is a hot research topic. While the performance of packet oriented signature-based approaches is questionable, flow-based anomaly detection shows high false positive rates. We tried to combine both techniques. In this paper, we study the applicability of flow-based attack detection. We installed a lab environment consisting of a monitoring infrastructure and a wellcontrolled honeypot. Using correlated honeypot logs and flow signatures, we created a first set of attack pattern. The evaluation of the approach was done within our university network. On the positive side, we were able to prove the successful detection of worm attacks. Problems can occur if incomplete monitoring data is used.

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Falko Dressler
Wolfgang Jaegers
Reinhard German

BibTeX reference

    author = {Dressler, Falko and Jaegers, Wolfgang and German, Reinhard},
    title = {{Flow-based Worm Detection using Correlated Honeypot Logs}},
    pages = {181--186},
    editor = {Braun, Torsten and Carle, Georg and Stiller, Burkhard},
    publisher = {VDE},
    address = {Bern, Switzerland},
    booktitle = {15. GI/ITG Fachtagung Kommunikation in Verteilten Systemen (KiVS 2007)},
    month = {2},
    year = {2007},

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