ZhangJiTaoA / An-Intrusion-Detection-Model-with-Transformer-BiLSTM
☆41Updated 2 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☆83Updated 2 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 8 months ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Updated 2 years ago
- ☆82Updated last year
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆109Updated 2 years ago
- Intrusion Detection System, IDS，Cyberattack Detection，Pytorch，Transformer☆9Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆34Updated 4 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 2 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆33Updated 4 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from T…☆30Updated 3 weeks ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆33Updated 2 years ago
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆16Updated last year
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆13Updated 2 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- ⼀个有潜⼒的⽹络⼊侵检测算法，引⼊了乘法注意⼒机制将其融合到 CNN 的分类模型中，在KDD99和UNSM-NB15数据集进行模型的训练结果优于一般机器学习方法和CNN。A promising network intrusion detection algorithm is…☆10Updated last year
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 7 months ago
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆26Updated 3 years ago
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆46Updated 4 years ago
- CICIDS2017 dataset☆69Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 4 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆33Updated 5 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆53Updated 5 years ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆13Updated last year
- the DL methods used are : DNN, CNN, LSTM, GRU, CNN-LSTM, CNN-GRU, CNN-BiLSTM, CNN-BiGRU, the dataset used is : imbalanced NSL-KDD (KDDTra…☆44Updated 2 years ago
- The dataset that has been processed and the code used to process it☆16Updated 2 years ago
- Journal Article: Telematics and Informatics Reports☆12Updated last year
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago