Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
Title | Outside the Closed World: On Using Machine Learning for Network Intrusion Detection |
Publication Type | Conference Paper |
Year of Publication | 2010 |
Authors | Sommer, R., & Paxson V. |
Page(s) | 305-316 |
Other Numbers | 2818 |
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. |
URL | http://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 |