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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Marchal, S. Francois, J. Wagner, C. State, R. Dulaunoy, A. Engel, T. Festor, O. |
| Copyright Year | 2012 |
| Description | Author affiliation: SnT - University of Luxembourg, Luxembourg (Marchal, S.; Francois, J.; Wagner, C.; State, R.; Engel, T.) || Computer Incident Response Center Luxembourg, Luxembourg (Dulaunoy, A.) || INRIA Nancy Grand Est, France (Festor, O.) |
| 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 $sets^{1}.$ |
| Starting Page | 988 |
| Ending Page | 993 |
| File Size | 1371257 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467302678 |
| ISSN | 15421201 |
| e-ISBN | 9781467302692 |
| e-ISBN | 9781467302685 |
| DOI | 10.1109/NOMS.2012.6212019 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-04-16 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | IP networks Data mining Monitoring Servers Indexes Entropy Internet |
| Content Type | Text |
| Resource Type | Article |
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