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What is Forecasting DDoS Attacks with LSTM about?

This paper forecasts future Distributed Denial-of-Service (DDoS) attacks using deep learning models. Although several studies address forecasting DDoS attacks, they remain relatively limited compared to detection-focused research. By studying the current trends and forecasting based on newer and updated datasets, mitigation plans against the attacks can be planned and formulated. The methodology used in this research work conforms to the Cross Industry Standard Process for Data Mining (CRISP-DM)

Author

journalijwmn

Language

EN