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DNSSM: A large scale passive DNS security monitoring framework

  • Samuel Marchal
  • , Jerome Francois
  • , Cynthia Wagner
  • , Radu State
  • , Alexandre Dulaunoy
  • , Thomas Engel
  • , Olivier Festor
  • University of Luxembourg
  • Computer Incident Response Center Luxembourg (CIRCL)
  • Institut national de recherche en informatique et en automatique (INRIA)

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

We present a monitoring approach and the supporting software architecture for passive DNS traffic. Monitoring DNS traffic can reveal essential network and system level activity profiles. Worm infected and botnet participating hosts can be identified and malicious backdoor communications can be detected. Any passive DNS monitoring solution needs to address several challenges that range from architectural approaches for dealing with large volumes of data up to specific Data Mining approaches for this purpose. We describe a framework that leverages state of the art distributed processing facilities with clustering techniques in order to detect anomalies in both online and offline DNS traffic. This framework entitled DNSSM is implemented and operational on several networks. We validate the framework against two large trace sets 1.

Original languageEnglish
Title of host publication2012 IEEE Network Operations and Management Symposium
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages988-993
Number of pages6
ISBN (Electronic)978-1-4673-0269-2, 78-1-4673-0268-5
ISBN (Print)78-1-4673-0267-8
DOIs
Publication statusPublished - 2012
MoE publication typeA4 Article in a conference publication
Event2012 IEEE Network Operations and Management Symposium, NOMS 2012 - Maui, HI, United States
Duration: 16 Apr 2012 → 20 Apr 2012

Conference

Conference2012 IEEE Network Operations and Management Symposium, NOMS 2012
Country/TerritoryUnited States
CityMaui, HI
Period16/04/12 → 20/04/12

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