Abstract:The boosting of video traffic in recent years has brought severe challenges to Internet management as video traffic shows wide variety, including harmful video traffic. For example, game video traffic should be strictly supervised for teenagers. Therefore, effectively identifying video traffic has become a fundamental issue in network management, and one of the popular and difficult subjects in existing research. To this end, we propose to extract a large-scale feature set for video traffic identification in t… Show more
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