Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic

Computer Networks(2022)

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摘要
The COVID-19 pandemic has reshaped Internet traffic due to the huge modifications imposed to lifestyle of people resorting more and more to collaboration and communication apps to accomplish daily tasks. Accordingly, these dramatic changes call for novel traffic management solutions to adequately countermeasure such unexpected and massive changes in traffic characteristics.
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关键词
Communication apps,Collaboration apps,COVID-19,Deep Learning,Encrypted traffic,Multimodal techniques,Contextual counters,Traffic classification
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