Literature Database Entry

dressler2007flow-based


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.


Abstract

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.

Quick access

Authors' Version PDF (PDF on this web site)
BibTeX BibTeX

Contact

Falko Dressler
Wolfgang Jaegers
Reinhard German

BibTeX reference

@inproceedings{dressler2007flow-based,
    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},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.

Last modified: 2024-03-29