mandersch / RTIDS
Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al
☆22Updated 7 months ago
Alternatives and similar repositories for RTIDS:
Users that are interested in RTIDS are comparing it to the libraries listed below
- ☆40Updated 2 years ago
- Intrusion Detection System, IDS,Cyberattack Detection,Pytorch,Transformer☆9Updated 2 years ago
- Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from T…☆28Updated 6 months ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 4 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- ☆80Updated last year
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆15Updated last year
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆33Updated last year
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆34Updated 4 years ago
- CICIDS2017 dataset☆69Updated 3 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆45Updated 10 months ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆16Updated 2 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆62Updated 4 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- ☆9Updated 2 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…