yue123161 / Paper_TNSMLinks
Code for paper: Contrastive Learning Enhanced Intrusion Detection
☆18Updated 2 years ago
Alternatives and similar repositories for Paper_TNSM
Users that are interested in Paper_TNSM are comparing it to the libraries listed below
Sorting:
- ☆12Updated last year
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆13Updated 3 years ago
- ☆41Updated 2 years ago
- ☆19Updated 4 months ago
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 8 months ago
- ☆18Updated 4 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 2 years ago
- ☆24Updated last year
- This platform is designed and implemented for encrypted traffic classification using deep learning☆13Updated last year
- A PyTorch implementation of of Anomal-E.☆35Updated 2 years ago
- ☆14Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- ☆9Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆70Updated 4 years ago
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆13Updated 3 months ago
- NEGSC☆38Updated last year
- Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Ne…☆12Updated 10 months ago
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆40Updated last year
- ☆10Updated last year
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆34Updated 2 years ago
- ☆9Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- The dataset that has been processed and the code used to process it☆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…☆34Updated 4 years ago
- ☆83Updated last year
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆13Updated 3 years ago
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆16Updated last year
- ☆11Updated last year
- Deep learning models for network intrusion detection☆36Updated 2 years ago