Web: http://arxiv.org/abs/2205.01685

May 5, 2022, 1:11 a.m. | Sajal Saha, Anwar Haque, Greg Sidebottom

cs.LG updates on arXiv.org arxiv.org

Internet traffic in the real world is susceptible to various external and
internal factors which may abruptly change the normal traffic flow. Those
unexpected changes are considered outliers in traffic. However, deep sequence
models have been used to predict complex IP traffic, but their comparative
performance for anomalous traffic has not been studied extensively. In this
paper, we investigated and evaluated the performance of different deep sequence
models for anomalous traffic prediction. Several deep sequences models were
implemented to predict …

arxiv deep modeling prediction traffic

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