Publication Details

Title: Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
Author: R. Sommer and V. Paxson
Group: Networking
Date: May 2010
PDF: http://www.icsi.berkeley.edu/pubs/networking/outsidethe10.pdf

Acknowledgements:
This work was partially supported by funding provided to ICSI through National Science Foundation grants CNS: 0433702 ("CCIED: Center for Internet Epidemiology and Defenses")and CNS: 0905631 ("Invigorating Empirical Network Research via Mediated Trace Analysis"). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors or originators and do not necessarily reflect the views of the National Science Foundation.

Bibliographic Information:
Proceedings of the IEEE Symposium on Security and Privacy 2010, Oakland, California, pp. 305-316

Bibliographic Reference:
R. Sommer and V. Paxson. Outside the Closed World: On Using Machine Learning for Network Intrusion Detection. Proceedings of the IEEE Symposium on Security and Privacy 2010, Oakland, California, pp. 305-316, May 2010