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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Perdisci, R. Corona, I. Dagon, D. Wenke Lee |
| Copyright Year | 2009 |
| Abstract | In this paper we propose a novel, passive approach for detecting and tracking malicious flux service networks. Our detection system is based on passive analysis of recursive DNS (RDNS) traffic traces collected from multiple large networks. Contrary to previous work, our approach is not limited to the analysis of suspicious domain names extracted from spam emails or precompiled domain blacklists. Instead, our approach is able to detect malicious flux service networks in-the-wild, i.e., as they are accessed by users who fall victims of malicious content advertised through blog spam, instant messaging spam, social website spam, etc., beside email spam. We experiment with the RDNS traffic passively collected at two large ISP networks. Overall, our sensors monitored more than 2.5 billion DNS queries per day from millions of distinct source IPs for a period of 45 days. Our experimental results show that the proposed approach is able to accurately detect malicious flux service networks. Furthermore, we show how our passive detection and tracking of malicious flux service networks may benefit spam filtering applications. |
| Starting Page | 311 |
| Ending Page | 320 |
| File Size | 257799 |
| Page Count | 10 |
| File Format | |
| ISBN | 9780769539195 |
| ISSN | 10639527 |
| DOI | 10.1109/ACSAC.2009.36 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Telecommunication traffic Internet Monitoring Availability Scattering Computer security Application software Computer networks Educational institutions Information services Botnet Detection Flux Networks Recursive DNS |
| Content Type | Text |
| Resource Type | Article |
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