S-Mohammad-Hashemi / RePO
Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems
☆20Updated 4 years ago
Alternatives and similar repositories for RePO:
Users that are interested in RePO are comparing it to the libraries listed below
- ☆11Updated 3 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆45Updated last year
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆19Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆30Updated 4 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆44Updated 8 months ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆13Updated 2 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).☆24Updated 4 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- An Intrusion Detection System based on Deep Belief Networks☆80Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆32Updated 4 years ago
- Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.☆33Updated 7 months ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆34Updated 7 months ago
- Deep learning models for network intrusion detection☆34Updated last year
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆30Updated last year
- 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.…☆39Updated 6 years ago
- ☆39Updated 2 years ago
- CICIDS2017 dataset☆65Updated 3 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆43Updated 5 months ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆30Updated 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…☆9Updated 11 months ago
- Intrusion detection system using CNN and RNN☆22Updated 5 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…☆41Updated 5 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆13Updated 2 years ago
- Attention Model for Network Intrusion Detection☆17Updated 5 years ago
- A backdoor attack by vulnerability amplification on online machine learning-based network intrusion detection system☆19Updated 3 years ago
- IoT intrusion Detection Model based on neural network and random forests☆44Updated 6 years ago
- Using NSL_KDD data☆26Updated 6 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 4 years ago