matthew-64 / Hydra2_Adversarial_NIDS
As society and technology develop, more and more of our time is spent online, from shopping to socialising, working to banking. Ensuring our safety from malicious actors trying to capitalise on this digitisation is becoming ever more important. One such system that was developed to defend against attacks is a Network Intrusion Detection System (…
☆12Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Hydra2_Adversarial_NIDS
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆56Updated 4 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆28Updated last year
- Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).☆21Updated 4 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 3 years ago
- An Intrusion Detection System based on Deep Belief Networks☆73Updated 2 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆82Updated 10 months ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆72Updated 4 years ago
- An automatic packet crafting tool for evading learning-based NIDS☆74Updated 2 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆27Updated 5 years ago
- Deep learning models for network intrusion detection☆33Updated last year
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆20Updated last year
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆27Updated 4 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆95Updated 2 years ago
- IDS abnormal traffic detection tensorflow☆38Updated 5 years ago
- CICIDS2017 dataset☆55Updated 2 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Using Wasserstein Generative Adversarial Network to fool intrusion detection systems (IDS) into believing that malicious traffic is norma…☆50Updated last year
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆20Updated 2 months ago
- Network Intrusion Detection System(Abnormal Detection)☆11Updated 4 years ago
- A Deep Learning approach toward creating a NIDS using python☆23Updated last year
- ☆35Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆30Updated 4 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆10Updated 4 months ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆29Updated 6 years ago
- ☆65Updated 11 months ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆41Updated 5 months ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆16Updated 3 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆41Updated 2 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。☆43Updated 4 years ago