S-Mohammad-Hashemi / RePO
Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems
☆22Updated 4 years ago
Alternatives and similar repositories for RePO
Users that are interested in RePO are comparing it to the libraries listed below
Sorting:
- ☆11Updated 3 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆35Updated 9 months ago
- ☆9Updated last year
- Application of novel EC-GAN method on Network Intrusion Detection☆21Updated 3 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 2 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated last year
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- Code for the paper: "AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection" (Infocom 2024)☆19Updated 5 months ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Using NSL_KDD data☆27Updated 6 years ago
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆32Updated 4 years ago
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆43Updated 5 years ago
- I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…☆40Updated 6 years ago
- CICIDS2017 dataset☆69Updated 3 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆34Updated 4 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a …☆14Updated 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…☆10Updated last year
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆20Updated 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
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆26Updated 4 years ago
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- ☆41Updated 2 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated 11 months ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆33Updated 4 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆33Updated 2 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 5 years ago
- ☆18Updated 4 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆44Updated 4 years ago