ireydiak / anomaly_detection_NRCANLinks
☆11Updated 2 years ago
Alternatives and similar repositories for anomaly_detection_NRCAN
Users that are interested in anomaly_detection_NRCAN are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆21Updated 2 years ago
- ☆53Updated 4 years ago
- Code for our submission to the WTMC 2021 workshop☆13Updated 4 years ago
- Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.☆46Updated last year
- CTU13 CSV Dataset contains Botnet, Normal and Background traffic☆17Updated 2 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆38Updated 5 years ago
- ☆15Updated 2 years ago
- IoT Attack Detection with machine learning☆27Updated 6 months ago
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆15Updated 9 months ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆65Updated 5 years ago
- A PyTorch implementation of of E-GraphSAGE.☆98Updated 3 years ago
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆14Updated 3 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- A PyTorch implementation of of Anomal-E.☆37Updated 3 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 5 years ago
- ☆20Updated 10 months ago
- An automatic packet crafting tool for evading learning-based NIDS☆84Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- An Intrusion Detection System based on Deep Belief Networks☆89Updated 3 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆48Updated 2 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆88Updated 7 years ago
- ☆19Updated 3 years ago
- ☆94Updated 2 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- Journal Article: IEEE Access☆16Updated 2 years ago
- Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…☆37Updated 4 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Updated 2 years ago
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆19Updated 2 years ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆14Updated 3 years ago
- Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Ne…☆15Updated last year