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 language | English |
|---|---|
| Title of host publication | 2012 IEEE Network Operations and Management Symposium |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 988-993 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-4673-0269-2, 78-1-4673-0268-5 |
| ISBN (Print) | 78-1-4673-0267-8 |
| DOIs | |
| Publication status | Published - 2012 |
| MoE publication type | A4 Article in a conference publication |
| Event | 2012 IEEE Network Operations and Management Symposium, NOMS 2012 - Maui, HI, United States Duration: 16 Apr 2012 → 20 Apr 2012 |
Conference
| Conference | 2012 IEEE Network Operations and Management Symposium, NOMS 2012 |
|---|---|
| Country/Territory | United States |
| City | Maui, HI |
| Period | 16/04/12 → 20/04/12 |
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