Alternatives and similar repositories for FL-IDS-KD

Users that are interested in FL-IDS-KD are comparing it to the libraries listed below

• Grassandgrass / sdn_FL
  基于联邦学习和深度残差网络的sdn入侵检测研究
  ☆16Updated last year
• oqadiSAK / fl-ids
  Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.
  ☆28Updated last year
• vanlalruata / DCNNBiLSTM-An-Efficient-Hybrid-Deep-Learning-Based-Intrusion-Detection-System
  Journal Article: Telematics and Informatics Reports
  ☆11Updated 2 years ago
• iZRJ / Federated-Learning-Based-Intrusion-Detection-System
  FL-based intrusion detection system development using model averaging.
  ☆40Updated 2 years ago
• Wanggag / IDS
  机器学习作业，机器学习和深度学习方法实现入侵检测
  ☆36Updated 3 years ago
• cjj535 / FedVAE
  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 2 years ago
• doriguzzi / flad-federated-learning-ddos
  Adaptive Federated Learning Approach to DDoS attack detection
  ☆52Updated last year
• NUAA-YANG / CNN
  CNN网络入侵检测
  ☆56Updated last year
• iZRJ / SSFL-IDS
  Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"
  ☆29Updated 2 years ago
• othmbela / dbn-based-nids
  An Intrusion Detection System based on Deep Belief Networks
  ☆89Updated 3 years ago
• Western-OC2-Lab / Intrusion-Detection-System-Using-CNN-and-Transfer-Learning
  Code for intrusion detection system (IDS) development using CNN models and transfer learning
  ☆195Updated 2 years ago
• ZhangJiTaoA / An-Intrusion-Detection-Model-with-Transformer-BiLSTM
  ☆47Updated 3 years ago
• ghosh64 / transferability
  Improving Transferability of Network Intrusion Detection in a Federated Learning Setup
  ☆13Updated last year
• huashishaojie / IDS-CNN
  使用卷积神经网络进行网络入侵检测，正确率可达99.5%
  ☆193Updated 6 years ago
• dwday / deep_learn_ids
  Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow
  ☆25Updated 2 years ago
• dino-chiio / fedmse
  FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection
  ☆24Updated 8 months ago
• demonCoder95 / ML-based-IDS-CICIDS2017
  This is a simple DNN based application for an IDS based on the CICIDS2017 dataset
  ☆37Updated 5 years ago
• ritikaxx / Intrusion-Detection-for-Internet-Of-Vehicles
  An intelligent classifier based Intrusion Detection System for IoV’s based on Neural Networks like optimized CNN, transfer learning and e…
  ☆18Updated 3 years ago
• fatemehm / Federated-Learning-IDS
  ☆15Updated 10 months ago
• c2dc / fl-unsup-nids
  ☆22Updated last year
• hymoe / Intrusion-Detection-on-NSL-KDD
  Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…
  ☆31Updated 5 years ago
• FrazHackz / Network-Intrusion-Detection-System-Deep-Learning
  Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)
  ☆12Updated 5 years ago
• daetz-coder / CIC-DDoS2019-Detection
  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…
  ☆16Updated last year
• Jumabek / net_intrusion_detection
  Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution
  ☆50Updated last year
• bobolike123 / NetworkTrafficAnalysis
  论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码
  ☆30Updated 3 years ago
• JetChan95 / federated_learning_HE
  基于同态加密的联邦学习安全聚合系统
  ☆47Updated 4 years ago
• Massacre96Wj / FL
  联邦学习预测节点流量
  ☆12Updated 5 years ago
• AltarIbnL / Network-anomaly-detection-with-deep-learning-along-with-UI
  ☆156Updated 2 years ago
• mvoassis / CIC-DDoS2019-DeepLearning
  A GRU deep learning system against attacks in Software Defined Networks (SDN).
  ☆31Updated last year
• spttt / Per-FedAvg-APT
  PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…
  ☆20Updated last year