sankeerthnalam / Web-traffic-anomaly-detection-using-C-LSTM-neural-networksLinks
This project aims to detect the anomalies in Web-Traffic using a C-LSTM architecture.
☆26Updated 5 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
Sorting:
- Intrusion Detection System using Machine Learning and Deep Learning☆89Updated 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…☆46Updated 3 years ago
- Training an LSTM-based autoencoder to detect anomalies in the KDD99 network traffic dataset.☆15Updated 4 years ago
- An Intrusion Detection System based on Deep Belief Networks☆86Updated 2 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆74Updated 4 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆114Updated 2 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆187Updated 2 years ago
- ☆88Updated last year
- ☆74Updated 4 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆43Updated 4 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆37Updated 2 years ago
- We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…☆12Updated 5 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆32Updated 6 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆49Updated last year
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 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…☆15Updated 3 years ago
- IDS abnormal traffic detection tensorflow☆42Updated 6 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆177Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆47Updated last year
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆36Updated 5 years ago
- A tool for data preprocess on iTrust SWaT dataset.☆55Updated 2 years ago
- 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。☆29Updated 10 months ago
- ☆46Updated 3 years ago
- Replication of Jay Sinha's Efficient Deep CNN-BiLSTM model for network intrusion detection using NSL-KDD and UNSW-NB15 datasets to unders…☆15Updated last year
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆28Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 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。☆48Updated 5 years ago
- Purposed a network traffic classification and prediction model based on CNN, TCN and Attention mechanism.☆21Updated last year