hyggs / Anomaly-Detection-and-Attack-Identification-in-Network-Traffic-Based-on-GraphLinks
A project from EECS6414M of Winter 2020 at York University
☆11Updated 5 years ago
Alternatives and similar repositories for Anomaly-Detection-and-Attack-Identification-in-Network-Traffic-Based-on-Graph
Users that are interested in Anomaly-Detection-and-Attack-Identification-in-Network-Traffic-Based-on-Graph are comparing it to the libraries listed below
Sorting:
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- An Intrusion Detection System based on Deep Belief Networks☆89Updated 3 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆24Updated last year
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 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
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆48Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 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 7 years ago
- ☆21Updated 5 years ago
- ☆31Updated 2 years ago
- FL-based intrusion detection system development using model averaging.☆40Updated 2 years ago
- ☆48Updated 3 years ago
- Deep learning models for network intrusion detection☆39Updated 2 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆50Updated 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 3 years ago
- An automatic packet crafting tool for evading learning-based NIDS☆84Updated 3 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆23Updated 3 years ago
- CICIDS2017 dataset☆70Updated 3 years ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆12Updated last year
- ☆15Updated last year
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆24Updated 6 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆38Updated 5 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆13Updated 3 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 5 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆34Updated 2 years ago
- FS-Net: A Flow Sequence Network For Encrypted Traffic Classification☆47Updated 5 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆89Updated last year
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆37Updated 5 years ago
- ☆22Updated last year
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆29Updated 2 years ago