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.
☆22Updated 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
- Purposed a network traffic classification and prediction model based on CNN, TCN and Attention mechanism.☆20Updated last year
- Training an LSTM-based autoencoder to detect anomalies in the KDD99 network traffic dataset.☆14Updated 4 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆85Updated last year
- 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…☆39Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆106Updated 2 years ago
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆21Updated 6 years ago
- We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…☆12Updated 4 years ago
- convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.☆17Updated last year
- 论文Encrypted Traffic Classification with One-dimensional Convolution Neural Networks的torch实现☆33Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆80Updated 2 years ago
- Repository for the paper titled "Attention-based Bi-LSTM for Anomaly Detection on Time-Series Data"☆21Updated 3 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 4 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆31Updated 4 years ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆43Updated 5 months ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆43Updated 8 months ago
- ☆71Updated 4 years ago
- A PyTorch implementation of of Anomal-E.☆31Updated 2 years ago
- DISEÑO Y EVALUACIÓN DE REDES NEURONALES CONVOLUCIONALES PARA UN SISTEMA DE DETECCIÓN DE INTRUSIONES☆13Updated 4 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆10Updated 7 months ago
- NEGSC☆33Updated 8 months ago
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆44Updated 4 years ago
- CICIDS2017 dataset☆64Updated 3 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆12Updated 6 months ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆25Updated 4 years ago
- ☆37Updated 2 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…☆40Updated 5 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆30Updated last year