sspku-2021 / PBCNNLinks
☆17Updated 4 years ago
Alternatives and similar repositories for PBCNN
Users that are interested in PBCNN are comparing it to the libraries listed below
Sorting:
- ☆20Updated 8 months ago
- ☆11Updated 3 years ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆15Updated last year
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 5 years ago
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆14Updated 3 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Updated 2 years ago
- ☆16Updated 3 years ago
- ☆14Updated last year
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- ☆46Updated 3 years ago
- An Intrusion Detection System based on Deep Belief Networks☆86Updated 2 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆47Updated 2 years ago
- The repository of FastTraffic, A lightweight method for encrypted traffic fast classification.☆21Updated 9 months ago
- using 2d-cnn to classify network traffic☆21Updated 5 years ago
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆19Updated last year
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆74Updated 4 years ago
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆28Updated 3 years ago
- Network Traffic Classification with Graph Neural Networks☆11Updated last year
- ☆18Updated last year
- Implementation of Research Paper titled: An explainable AI based Intrusion Detection System for DNS over HTTPS (DoH) Attacks on CICIDS da…☆10Updated 2 years ago
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆13Updated last year
- 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
- ☆26Updated last year
- ☆49Updated 3 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- ☆11Updated last year
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆37Updated 2 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
- Anomaly Detection using PCA and BiGAN☆14Updated 5 years ago