Network traffic classification based‐ masked language regression model using CNN
Steffi P. L.,
W. R. Sam Emmanuel,
P. Arockia Jansi Rani
Abstract:SummaryNetwork traffic classification task has become increasingly challenging. The objective behind this classification is to effectively handle bandwidth, prioritize certain types of traffic, enhance application performance, and more. In recent times, there has been a surge in exploring deep learning approaches for network traffic categorization. However, these models demand substantial volumes of training data. Additionally, many classification methods necessitate manual feature extraction, a process that i… Show more
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