Internet traffic clustering with side information

作者：

Highlights：

• Side information: most TCP traffic flows are associated with some other flows.

• A novel constrained Gaussian mixture model is proposed.

• Evaluation shows that this model produces purer traffic clusters than other models.

摘要

•Side information: most TCP traffic flows are associated with some other flows.•A novel constrained Gaussian mixture model is proposed.•Evaluation shows that this model produces purer traffic clusters than other models.

论文关键词：Traffic classification,Semi-supervised machine learning,Constrained clustering

论文评审过程：Received 25 September 2012, Revised 15 March 2013, Accepted 27 August 2013, Available online 12 February 2014.

论文官网地址：https://doi.org/10.1016/j.jcss.2014.02.008