cjj535 / FedVAELinks
采用VAE模型实现网络流量异常检测,并结合联邦学习与蒸馏学习
☆13Updated last year
Alternatives and similar repositories for FedVAE
Users that are interested in FedVAE are comparing it to the libraries listed below
Sorting:
- 将联邦学习以及知识蒸馏用于搭建网络入侵检测检测模型,在NSL-KDD数据集上进行了验证。☆28Updated 2 years ago
- 机器学习作业,机器学习和深度学习方法实现入侵检测☆37Updated 3 years ago
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆24Updated last year
- CNN网络入侵检测☆56Updated last year
- 基于联邦学习和深度残差网络的sdn入侵检测研究☆10Updated last year
- 🎈 2020年中国高校计算机大赛(C4)-网络技术挑战赛EP2决赛赛项:基于CNN+LSTM时空神经网络的在线流量分类模型。☆52Updated 2 years ago
- 机器学习/深度学习实现入侵检测项目☆55Updated 2 years ago
- 在当前的数字时代,随着网络攻击日益复杂和频繁,网络安全成为了保障信息安全的重中之重。尤其是在网络入侵检测领域,传统的基于规则的检测方法已经难以应对日新月异的攻击技术。因此,利用深度学习技术进行网络入侵检测成为了研究的新趋势。本项目旨在开发一种基于卷积神经网络(CNN)和Tr…☆29Updated last year
- Journal Article: Telematics and Informatics Reports☆11Updated 2 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆175Updated 2 years ago
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆28Updated 2 years ago
- FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection☆20Updated 3 months ago
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆17Updated last year
- 使用卷积神经网络进行网络入侵检测,正确率可达99.5%☆184Updated 6 years ago
- ☆43Updated 2 years ago
- Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from T…☆32Updated 3 months ago
- 使用贝叶斯、神经网络、KNN进行入侵检测(KDD-CUP99)☆83Updated 5 years ago
- 基于神经网络的流量异常检测☆138Updated 4 years ago
- ☆156Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆84Updated 2 years ago
- 数据清洗与合并 Data Cleaning and Merging ; 机器学习模型 Machine Learning Models; 深度学习模型 Deep Learning Models ;PCA, t-SNE分析 PCA, t-SNE Analysis; 数据,结…☆15Updated last year
- ☆14Updated 2 years ago
- FL-based intrusion detection system development using model averaging.☆39Updated 2 years ago
- ☆16Updated 2 years ago
- 联邦学习预测节点流量☆12Updated 4 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆72Updated 4 years ago
- the DL methods used are : DNN, CNN, LSTM, GRU, CNN-LSTM, CNN-GRU, CNN-BiLSTM, CNN-BiGRU, the dataset used is : imbalanced NSL-KDD (KDDTra…☆44Updated 2 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- An intelligent classifier based Intrusion Detection System for IoV’s based on Neural Networks like optimized CNN, transfer learning and e…☆19Updated 3 years ago
- Adaptive Federated Learning Approach to DDoS attack detection☆48Updated 7 months ago