Battlingboy / AE-IDSLinks
Network Intrusion Detection System(Abnormal Detection)
☆11Updated 4 years ago
Alternatives and similar repositories for AE-IDS
Users that are interested in AE-IDS are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Deep learning models for network intrusion detection☆36Updated 2 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆70Updated 4 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆33Updated 4 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆33Updated 4 years ago
- ☆41Updated 2 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆54Updated 6 years ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- CICIDS2017 dataset☆69Updated 3 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 8 months 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
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆47Updated 4 years ago
- Intrusion detection system using CNN and RNN☆24Updated 5 years ago
- Deep Learning based Intrusion Detection on NSL-KDD Dataset☆13Updated 5 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 5 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated 11 months ago
- Intrusion Detection System using Machine Learning and Deep Learning☆87Updated last year
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 2 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
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆64Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 8 months ago
- manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRUAn Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Updated 6 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆35Updated 10 months ago
- Feature coded UNSW_NB15 intrusion detection data.☆87Updated 7 years ago
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- ☆83Updated last year
- 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.☆25Updated 4 years ago