Battlingboy / AE-IDS
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
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆69Updated 4 years ago
- Deep learning models for network intrusion detection☆34Updated last year
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 4 years ago
- CICIDS2017 dataset☆66Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆33Updated 4 years ago
- An Intrusion Detection System based on Deep Belief Networks☆80Updated 2 years ago
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆22Updated 2 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。☆45Updated 4 years ago
- ☆40Updated 2 years ago
- Deep Learning based Intrusion Detection on NSL-KDD Dataset☆13Updated 5 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆30Updated 4 years ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆25Updated 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
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆61Updated 4 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆43Updated 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 last year
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆45Updated 4 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆85Updated last year
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆42Updated 5 years ago
- As society and technology develop, more and more of our time is spent online, from shopping to socialising, working to banking. Ensuring …☆13Updated 2 years ago
- Deep learning based Intrusion Detection System☆31Updated 4 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
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 6 months ago
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆22Updated 6 years ago
- Using NSL_KDD data☆27Updated 6 years ago