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DNSSM: A large-scale Passive DNS Security Monitoring Framework
Marchal, Samuel; François, Jérôme; Wagner, Cynthia et al.
2012In IEEE/IFIP Network Operations and Management Symposium, p. 988 - 993
Peer reviewed
 

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Keywords :
Passive DNS Analysis; Large scale Monitoring; Data Mining
Abstract :
[en] 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 DSNSM is implemented and operational on several networks. We validate the framework against two large trace sets.
Research center :
Interdisciplinary Center for Security, Reliability and Trust
Disciplines :
Computer science
Identifiers :
UNILU:UL-CONFERENCE-2012-108
Author, co-author :
Marchal, Samuel ;  Université Poincaré, Nancy, France
François, Jérôme ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Wagner, Cynthia ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
State, Radu  ;  INRIA Nancy Grand Est, Nancy, France
Dulaunoy, Alexandre 
Engel, Thomas ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Festor, Olivier;  INRIA Nancy Grand Est
Language :
English
Title :
DNSSM: A large-scale Passive DNS Security Monitoring Framework
Publication date :
April 2012
Event name :
NOMS 2012
Event place :
Maui, United States - Hawaii
Event date :
16-20 May 2012
Audience :
International
Journal title :
IEEE/IFIP Network Operations and Management Symposium
ISSN :
1542-1201
Publisher :
IEEE
Pages :
988 - 993
Peer reviewed :
Peer reviewed
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since 13 December 2013

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