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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.
  Last Modified: Fri Oct-25-2019 12:31:28 PDT
  Page URL: http://www.caida.org/publications/bib/networking/entries/li_canine.xml