Outside the Closed World: On Using Machine Learning for Network Intrusion Detection

TitleOutside the Closed World: On Using Machine Learning for Network Intrusion Detection
Publication TypeConference Paper
Year of Publication2010
AuthorsSommer, R., & Paxson V.
Page(s)305-316
Other Numbers2818
Acknowledgment

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.

URLhttp://www.icsi.berkeley.edu/pubs/networking/outsidethe10.pdf
Bibliographic Notes

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

Abbreviated Authors

R. Sommer and V. Paxson

ICSI Research Group

Networking and Security

ICSI Publication Type

Article in conference proceedings