Analysis of network traffic features for anomaly detection-Reference-Cited by-同舟云学术

Analysis of network traffic features for anomaly detection

Published:2014-12-04 Issue:1-3 Volume:101 Page:59-84
ISSN:0885-6125
Container-title:Machine Learning
language:en
Short-container-title:Mach Learn

Author:

Iglesias Félix,Zseby Tanja

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s10994-014-5473-9.pdf

Reference40 articles.

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4. Chebrolu, S., Abraham, A., & Thomas, J. P. (2005). Feature deduction and ensemble design of intrusion detection systems. Computers & Security, 24(4), 295–307.

5. Claise, B., Trammell, B., & Aitken, P. (2013). Specification of the IP Flow Information Export (IPFIX) protocol for the exchange of flow information. In RFC 7011 (INTERNET STANDARD). http://www.ietf.org/rfc/rfc7011.txt .

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