Name
Title | ||
|---|---|---|
DNS tunneling detection through statistical fingerprints of protocol messages and machine learning |
Abstract | ||
|---|---|---|
The use of covert-channel methods to bypass security policies has increased considerably in the recent years. Malicious users neutralize security restriction by encapsulating protocols like peer-to-peer, chat or http proxy into other allowed protocols like Domain Name Server DNS or HTTP. This paper illustrates a machine learning approach to detect one particular covert-channel technique: DNS tunneling. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1002/dac.2836 | International Journal of Communication Systems |
Keywords | Field | DocType |
intrusion detection,DNS tunneling,supervised learning,ensemble techniques | Computer science,Computer security,Domain Name System,Computer network,Supervised learning,Artificial intelligence,Security policy,Intrusion detection system,Machine learning | Journal |
Volume | Issue | ISSN |
28 | 14 | 1074-5351 |
Citations | PageRank | References |
14 | 1.14 | 21 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maurizio Aiello | 1 | 109 | 13.92 |
| Maurizio Mongelli | 2 | 139 | 25.56 |
| Gianluca Papaleo | 3 | 98 | 9.93 |