Main Reference PaperNetwork traffic classification based on transfer learning, Computers and Electrical Engineering, 2018.
  • The proposed traffic classification model in the network management exploits the labeled traffic data that captured from the heterogeneous traffic sources. It exploits the transfer learning for the traffic classification task. In the traffic classification, it employs the maximum entropy model (Maxent) as a base classifier.

+ Description
  • The proposed traffic classification model in the network management exploits the labeled traffic data that captured from the heterogeneous traffic sources. It exploits the transfer learning for the traffic classification task. In the traffic classification, it employs the maximum entropy model (Maxent) as a base classifier.

  • To discover the recent traffic data from the various domain

  • To tackle the multi-class network traffic classification

+ Aim & Objectives
  • To discover the recent traffic data from the various domain

  • To tackle the multi-class network traffic classification

  • To resolve the issue of the classification task

+ Contribution
  • To resolve the issue of the classification task

  • Operating system: Ubuntu / Windows

  • Java/Python/R

+ Software Tools & Technologies
  • Operating system: Ubuntu / Windows

  • Java/Python/R

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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