340 / 1971-01-01 00:00:00
Network Flow Classification Method Research Based On Sequence Properties
flow identification,bi-directional dynamic network flow,sequence property, network flow classification
Final Paper
Jia-ning WU / Shaanxi Xueqian Normal University
Abstract: It has been more important to accurately classify and identify various applications in network flow nowadays. Aiming at the disadvantages of current analysis on flow and integrated with relevant research accomplishments, the paper proposed that network flow analysis could be conducted with fine-grained Packet-Level sequence property, based on the bi-directional dynamic network flow model. The relationship between sequence properties and network flow patterns was established to create an efficient network flow classification method that has nothing to do with port.
Important Date
  • Conference Date

    Jan 22

    2015

    to

    Feb 23

    2015

  • Dec 20 2014

    Draft paper submission deadline

  • Dec 20 2014

    Early Bird Registration

  • Dec 31 2014

    Final Paper Deadline

  • Feb 23 2015

    Registration deadline

  • Apr 20 2015

    Abstract Submission Deadline

Contact Information