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- W3128013559 abstract "DDoS attack is one of the biggest threads we are facing in today’s networking world. DDoS attacks generating mass traffic deplete network bandwidth and/or system resources. Conventional solutions identify network traffic attack activities from legitimate network traffic based on statistical divergence. In this paper, we present deep learning based solution for predicting the DDoS attack. We design a RNN (Recurrent Neural Network) to learn network patterns from network traffic and use this learning to detect the attack." @default.
- W3128013559 created "2021-02-15" @default.
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- W3128013559 date "2020-01-01" @default.
- W3128013559 modified "2023-09-26" @default.
- W3128013559 title "Detection of DDoS Attack using Traffic Analysis" @default.
- W3128013559 hasPublicationYear "2020" @default.
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