A Review on Features' Robustness in High Diversity Mobile Traffic Classifications
作者: Yichiet AunSelvakumar ManickamShankar Karuppayah
刊名: International Journal of Communication Networks and Information Security, 2017, Vol.9 (2), pp.294-304
来源数据库: ProQuest Journal
原始语种摘要: Mobile traffics are becoming more dominant due to growing usage of mobile devices and proliferation of IoT. The influx of mobile traffics introduce some new challenges in traffic classifications; namely the diversity complexity and behavioural dynamism complexity. Existing traffic classifications methods are designed for classifying standard protocols and user applications with more deterministic behaviours in small diversity. Currently, flow statistics, payload signature and heuristic traffic attributes are some of the most effective features used to discriminate traffic classes. In this paper, we investigate the correlations of these features to the less-deterministic user application traffic classes based on corresponding classification accuracy. Then, we evaluate the impact of...
全文获取路径: ProQuest  (合作)

  • deterministic 确定性
  • diminishing 衰减
  • dynamism 物力论
  • usage 使用率
  • traffic 话务量
  • applications 应用程序
  • statistics 统计
  • learning 学识
  • heuristic 试探
  • feature 结构元件