rdpahalavan / PADEC
Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.
☆9Updated last year
Related projects ⓘ
Alternatives and complementary repositories for PADEC
- ☆34Updated 2 years ago
- CNN网络入侵检测☆24Updated 6 months ago
- Deep learning models for network intrusion detection☆33Updated last year
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆19Updated last month
- An Intrusion Detection System based on Deep Belief Networks☆73Updated 2 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 3 years ago
- IDS abnormal traffic detection tensorflow☆38Updated 5 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆94Updated 2 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆28Updated last year
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆10Updated 4 months ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆40Updated 4 months ago
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆41Updated 4 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆17Updated 4 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆80Updated 10 months ago
- CICIDS2017 dataset☆54Updated 2 years ago
- ☆64Updated 11 months ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆40Updated last month
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆65Updated 4 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆29Updated 4 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆28Updated 3 months ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- The dataset that has been processed and the code used to process it☆16Updated 2 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆26Updated 5 years ago
- A Deep Learning approach toward creating a NIDS using python☆23Updated last year
- DNN-Ensemble IDS is a machine learning based classification model for intrusion detection exploiting ensembles of classifiers.☆10Updated 3 years ago
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆20Updated last year
- Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic☆38Updated 4 months ago