/DeepDefense

DDoS attack detection using BLSTM based RNN

Primary LanguageJupyter NotebookMIT LicenseMIT

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