chenxu93 / abnormal-traffic
IDS abnormal traffic detection tensorflow
☆39Updated 5 years ago
Alternatives and similar repositories for abnormal-traffic:
Users that are interested in abnormal-traffic are comparing it to the libraries listed below
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆53Updated 5 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆108Updated 2 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆86Updated last year
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆45Updated 4 years ago
- CICIDS2017 dataset☆68Updated 3 years ago
- ☆40Updated 2 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- ☆46Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 4 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆43Updated 4 years ago
- Code for Intrusion Detection Systems and Encrypted Traffic Classification [No Further Updates]☆36Updated 3 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆31Updated 4 years ago
- An Intrusion Detection System based on Deep Belief Networks☆82Updated 2 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 5 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆87Updated 7 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆45Updated 9 months ago
- Network Intrusion Detection System(Abnormal Detection)☆11Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 6 months 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
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆34Updated 4 years ago
- 多进程读取pcap,基于五元组分流并提取流量特征。结果输出为csv文件,用于机器学习中对加密流量进行分类☆89Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆10Updated 9 months ago
- Code of "MalDetect: A Structure of Encrypted Malware Traffic Detection"☆15Updated 5 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 3 years ago
- Deep Learning based Intrusion Detection on NSL-KDD Dataset☆13Updated 5 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
- Using PyTorch to train kddcup99 dataset with convolutional neural networks.☆54Updated 6 years ago