zhangzhao156 / scalable-NIDS
☆9Updated last year
Related projects ⓘ
Alternatives and complementary repositories for scalable-NIDS
- ☆15Updated 4 years ago
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆10Updated last year
- ☆10Updated 10 months ago
- ☆19Updated last year
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆15Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆15Updated last year
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆14Updated 2 years ago
- ☆35Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆73Updated 2 years ago
- Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic☆38Updated 4 months ago
- ☆10Updated 2 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆42Updated last year
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆20Updated 2 months ago
- IDS abnormal traffic detection tensorflow☆38Updated 5 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆29Updated 3 months ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆66Updated 4 years ago
- A PyTorch implementation of of Anomal-E.☆30Updated last year
- Network Security Analysis using Machine Learning on the NSL-KDD dataset from the KDD Cup 1999☆20Updated 5 years ago
- The dataset that has been processed and the code used to process it☆16Updated 2 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆17Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆40Updated 2 months ago
- ☆19Updated last year
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆43Updated 4 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆30Updated 4 years ago
- This project aims to detect Intrusions with a network using deep learning. The network traffic data is converted to multi channel RGB ima…☆11Updated 2 years ago
- Deep learning models for network intrusion detection☆33Updated last year
- ☆11Updated 2 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆27Updated last year