santhisenan / DeepDefense

DDoS attack detection using BLSTM based RNN

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Using Bidirectional LSTM based RNN to classify DDoS attack packets

The design of this classifier was inspired by DeepDefense: Identifying DDoS Attack via Deep Learning paper.

The CSV extract of the dataset can be found here.

Architecture of the model

Model

Usage

Run the brnn_classifier.ipynb notebook.

Results

Plot of accuracy

Plot of accuracy

Plot of loss

Plot of loss

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DDoS attack detection using BLSTM based RNN

License:MIT License


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