ZhangJiTaoA / An-Intrusion-Detection-Model-with-Transformer-BiLSTMLinks
☆47Updated 3 years ago
Alternatives and similar repositories for An-Intrusion-Detection-Model-with-Transformer-BiLSTM
Users that are interested in An-Intrusion-Detection-Model-with-Transformer-BiLSTM are comparing it to the libraries listed below
Sorting:
- An Intrusion Detection System based on Deep Belief Networks☆89Updated 3 years ago
- ☆91Updated last year
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆117Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 5 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆37Updated 5 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆14Updated 3 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆23Updated last year
- CICIDS2017 dataset☆70Updated 3 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆89Updated last year
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆195Updated 2 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆28Updated 3 years ago
- IDS abnormal traffic detection tensorflow☆45Updated 6 years ago
- Deep learning models for network intrusion detection☆40Updated 2 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 5 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Updated 2 years ago
- Reproduce the code of papers related to the field of NIDS(network intrusion detection system).入侵检测领域的相关论文复现/适配本地PC后的代码.☆26Updated 4 years ago
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆50Updated last year
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆32Updated 5 years ago
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆16Updated 3 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆37Updated 2 years ago
- Intrusion Detection System, IDS,Cyberattack Detection,Pytorch,Transformer☆11Updated 3 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆50Updated last year
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆47Updated 2 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆43Updated 4 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆29Updated 6 years ago