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Y. Li, Adam Slagell, K. Luo, and W. Yurcik, "CANINE: A Combined Conversion and Anonymization Tool for Processing NetFlows for Security", in International Conference on Telecommunication Systems, Modeling and Analysis, nov 2005.
| CANINE: A Combined Conversion and Anonymization Tool for Processing NetFlows for Security | |
| Authors: |
Y. Li Adam Slagell K. Luo W. Yurcik |
| Published: | International Conference on Telecommunication Systems, Modeling and Analysis, 2005 |
| URL: | http://security.ncsa.uiuc.edu/distribution/CanineDownLoad.html
http://laim.ncsa.uiuc.edu/downloads/li05.pdf |
| ENTRY DATE: | 2008-06-16 |
| ABSTRACT: | Those creating NetFlow tools struggle with two problems: (1) NetFlows come in many different, incompatible formats, and (2) the sensitivity of NetFlow logs can hinder the sharing of these logs and thus make it difficult for developers (particularly student research assistants) to get real data to use. Our solution is a new tool we created that converts and anonymizes NetFlow logs. In this paper we discuss our tool in detail and demonstrate that it is extremely scalable. |