Main Reference PaperMobile app traffic flow feature extraction and selection for improving classification robustness, Journal of Network and Computer Applications, 2019 [Java]
  • To deal with the drift over the feature distributions in the mobile app traffic classification, this work focuses on optimally selecting the feature sets. To select the discriminative feature sets, it jointly explores the characteristics of the mobile app traffic and estimates the feature drift. In order to extract the optimal feature set for the mobile app traffic, the proposed work analyzes the in-flow behavior of the traffic flows in different aspects.

Description
  • To deal with the drift over the feature distributions in the mobile app traffic classification, this work focuses on optimally selecting the feature sets. To select the discriminative feature sets, it jointly explores the characteristics of the mobile app traffic and estimates the feature drift. In order to extract the optimal feature set for the mobile app traffic, the proposed work analyzes the in-flow behavior of the traffic flows in different aspects.

  • To improve the classification robustness in dynamic mobile app traffic environment

  • To effectively select the optimal feature set of the traffic flow

Aim & Objectives
  • To improve the classification robustness in dynamic mobile app traffic environment

  • To effectively select the optimal feature set of the traffic flow

  • This work effectively extracts the potential features for the mobile app traffic data and improves the robustness of the classification.

Contribution
  • This work effectively extracts the potential features for the mobile app traffic data and improves the robustness of the classification.

  • Operating system: Ubuntu / Windows

  • Language: Java

Software Tools & Technologies
  • Operating system: Ubuntu / Windows

  • Language: Java

  • 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.

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

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