cdogemaru / CPIPLinks
☆15Updated 2 years ago
Alternatives and similar repositories for CPIP
Users that are interested in CPIP are comparing it to the libraries listed below
Sorting:
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆73Updated 4 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
- ☆53Updated 4 years ago
- IDS abnormal traffic detection tensorflow☆44Updated 6 years ago
- An automatic packet crafting tool for evading learning-based NIDS☆84Updated 3 years ago
- Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).☆73Updated 9 months ago
- ☆31Updated 2 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆38Updated 5 years ago
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆52Updated 5 years ago
- ☆23Updated 5 years ago
- A PyTorch implementation of of Anomal-E.☆38Updated 3 years ago
- A PyTorch implementation of of E-GraphSAGE.☆99Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆14Updated last year
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆34Updated 2 years ago
- ☆94Updated 2 years ago
- source code for USENIX Security paper xNIDS☆58Updated last year
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis☆132Updated 2 years ago
- Attention Model for Network Intrusion Detection☆18Updated 6 years ago
- ☆48Updated 3 years ago
- ☆12Updated last year
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆27Updated 5 years ago
- tcbench is a Machine Learning and Deep Learning framework to train model from traffic packet time series or other input representations.☆31Updated last year
- FS-Net: A Flow Sequence Network For Encrypted Traffic Classification☆48Updated 5 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…☆15Updated 3 years ago
- It is a network traffic classifier based on deep learning.☆49Updated last year
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆15Updated 3 years ago
- FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data☆29Updated 3 years ago
- An Intrusion Detection System based on Deep Belief Networks☆89Updated 3 years ago