vanloicao / SAEDVAE
This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not hesitate to contact me via email: loi.cao@ucdconnect.ie OR loi.cao@lqdtu.edu.vn
☆19Updated 5 years ago
Alternatives and similar repositories for SAEDVAE:
Users that are interested in SAEDVAE are comparing it to the libraries listed below
- A GAN-based model focused on anomaly detection in discrete dataset☆25Updated 5 years ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆15Updated 3 years ago
- Feature Selection using Pigeon Inspired Optimizer for Intrusion Detection System☆7Updated 2 years ago
- ☆21Updated 4 years ago
- ☆11Updated 2 years ago
- manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRUAn Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Updated 6 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- ☆19Updated last month
- Code Snippet used to convert CSV dataset into Images in IEEE Published Article: IoT DoS and DDoS Attack Detection using ResNet☆12Updated 3 years ago
- ☆16Updated 4 years ago
- AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic usi…☆14Updated 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…☆12Updated 2 years ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆14Updated 2 years ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆21Updated 4 years ago
- ☆10Updated last year
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆14Updated 2 years ago
- CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network☆12Updated 4 years ago
- Forest of random partitioning trees for point-wise and collective anomaly detection☆10Updated 4 months ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 4 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
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆45Updated 4 years ago
- ☆26Updated last year
- ☆71Updated 4 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆11Updated last year
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆69Updated 4 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆13Updated 7 months ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆25Updated 4 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆45Updated last year
- ☆24Updated 5 years ago