yihanchen3 / Network-Anomaly-Traffic-Detection-and-Prediction-using-Spatio-Temporal-Networks
Purposed a network traffic classification and prediction model based on CNN, TCN and Attention mechanism.
☆17Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Network-Anomaly-Traffic-Detection-and-Prediction-using-Spatio-Temporal-Networks
- 异常检测算法☆14Updated 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…☆34Updated 2 years ago
- CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network☆12Updated 4 years ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated 10 months ago
- 网络流量预测☆16Updated last year
- ☆18Updated 2 years ago
- LSTM and ARIMA for network traffic prediction (Christoph Kaiser's MA)☆37Updated 4 years ago
- Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction☆18Updated last year
- CNN-Bidirectional LSTM network to forecast long term traffic flow in Madrid.☆23Updated last year
- CNN with attention and CNN_LSTM_attention(pytorch)☆18Updated 4 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆20Updated 2 years ago
- Code for ISSCC2019 paper《Traffic Matrix Prediction Based on Deep Learning for Dynamic Traffic Engineering》☆32Updated 4 years ago
- use lstm&svr to predict the network traffic☆37Updated 3 years ago
- A statistical decomposition of internet traffic data (in bits) over time. Using RStudio I performed a Simple Trend Model, Multiplicative …☆23Updated 7 years ago
- Training an LSTM-based autoencoder to detect anomalies in the KDD99 network traffic dataset.☆13Updated 4 years ago
- Repository for the paper titled "Attention-based Bi-LSTM for Anomaly Detection on Time-Series Data"☆19Updated 3 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆13Updated last year
- The project aims to analyse different types of attacks using the Bot-IoT dataset and also apply & compare different classification algori…☆11Updated 3 years ago
- Implementing Multi-level attention netowrk for spatio-temporal prediction☆16Updated 5 years ago
- ☆20Updated 4 years ago
- convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.☆17Updated 9 months ago
- ☆11Updated 3 years ago
- This project aims to detect the anomalies in Web-Traffic using a C-LSTM architecture.☆22Updated 4 years ago
- Intrusion Detection System (Classifier) Using CIC IDS 2017 Datasets☆12Updated 3 years ago
- using 2d-cnn to classify network traffic☆20Updated 4 years ago
- Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.☆27Updated 10 months ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆66Updated 4 years ago
- NEGSC☆29Updated 5 months ago
- This repository is a proof of concept of algorithms described in T-DFNN: An Incremental Learning Algorithm for Intrusion Detection System…☆12Updated 2 years ago
- The work in paper "An AI-based Traffic Matrix Prediction Solution for Software-Defined Network" - Duc-Huy LE, Hai Anh TRAN, Sami SOUIHI, …☆34Updated 3 years ago