sankeerthnalam / Web-traffic-anomaly-detection-using-C-LSTM-neural-networks
This project aims to detect the anomalies in Web-Traffic using a C-LSTM architecture.
☆23Updated 4 years ago
Alternatives and similar repositories for Web-traffic-anomaly-detection-using-C-LSTM-neural-networks:
Users that are interested in Web-traffic-anomaly-detection-using-C-LSTM-neural-networks are comparing it to the libraries listed below
- Training an LSTM-based autoencoder to detect anomalies in the KDD99 network traffic dataset.☆14Updated 4 years ago
- the DL methods used are : DNN, CNN, LSTM, GRU, CNN-LSTM, CNN-GRU, CNN-BiLSTM, CNN-BiGRU, the dataset used is : imbalanced NSL-KDD (KDDTra…☆43Updated 2 years ago
- Purposed a network traffic classification and prediction model based on CNN, TCN and Attention mechanism.☆20Updated last year
- 本项目是论文《F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information》的实验代码,实现了多种时间序列异常检测模型,并构建一个异常检测方法。☆16Updated 3 months ago
- Intrusion Detection System using Machine Learning and Deep Learning☆86Updated last year
- We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…☆12Updated 4 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- DISEÑO Y EVALUACIÓN DE REDES NEURONALES CONVOLUCIONALES PARA UN SISTEMA DE DETECCIÓN DE INTRUSIONES☆14Updated 4 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
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆12Updated 2 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆43Updated 4 years ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- An Intrusion Detection System based on Deep Belief Networks☆82Updated 2 years ago
- Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks☆47Updated 5 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆53Updated 5 years ago
- ☆71Updated 4 years ago
- A PyTorch implementation of of Anomal-E.☆33Updated 2 years ago
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆22Updated 6 years ago
- A tool for data preprocess on iTrust SWaT dataset.☆41Updated 2 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
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆45Updated 9 months ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 6 months ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆25Updated 4 years ago
- ☆40Updated 2 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆108Updated 2 years ago
- ☆46Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆45Updated 4 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆16Updated last year
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆17Updated last year
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago