Real-time anomaly traffic monitoring based on dynamic k-NN cumulative-distance abnormal detection algorithm. Song, R. & Liu, F. In CCIS, pages 187-192, 2014. IEEE.
Real-time anomaly traffic monitoring based on dynamic k-NN cumulative-distance abnormal detection algorithm. [link]Link  Real-time anomaly traffic monitoring based on dynamic k-NN cumulative-distance abnormal detection algorithm. [link]Paper  bibtex   
@inproceedings{conf/ccis/SongL14,
  added-at = {2016-06-20T00:00:00.000+0200},
  author = {Song, Ruoning and Liu, Fang},
  biburl = {http://www.bibsonomy.org/bibtex/26b2d8a57b5cabf6a361d117f9fdbf6fb/dblp},
  booktitle = {CCIS},
  crossref = {conf/ccis/2014},
  ee = {http://dx.doi.org/10.1109/CCIS.2014.7175727},
  interhash = {95e19872aa5980793914ed4efa38480a},
  intrahash = {6b2d8a57b5cabf6a361d117f9fdbf6fb},
  isbn = {978-1-4799-4719-5},
  keywords = {dblp},
  pages = {187-192},
  publisher = {IEEE},
  timestamp = {2016-06-21T11:51:53.000+0200},
  title = {Real-time anomaly traffic monitoring based on dynamic k-NN cumulative-distance abnormal detection algorithm.},
  url = {http://dblp.uni-trier.de/db/conf/ccis/ccis2014.html#SongL14},
  year = 2014
}

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