meryemJanatiIdrissi / Fed-ANIDS
☆9Updated last year
Alternatives and similar repositories for Fed-ANIDS:
Users that are interested in Fed-ANIDS are comparing it to the libraries listed below
- FL-based intrusion detection system development using model averaging.☆36Updated 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
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆13Updated last year
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 6 months ago
- Adaptive Federated Learning Approach to DDoS attack detection☆45Updated 4 months ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆16Updated last year
- An Intrusion Detection System based on Deep Belief Networks☆82Updated 2 years ago
- ☆40Updated 2 years ago
- ☆13Updated 2 years ago
- ☆21Updated 5 months ago
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆21Updated last year
- ☆16Updated 4 years ago
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆12Updated last month
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 4 years ago
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆39Updated last year
- ☆12Updated last month
- An intelligent classifier based Intrusion Detection System for IoV’s based on Neural Networks like optimized CNN, transfer learning and e…☆19Updated 2 years ago
- ⼀个有潜⼒的⽹络⼊侵检测算法，引⼊了乘法注意⼒机制将其融合到 CNN 的分类模型中，在KDD99和UNSM-NB15数据集进行模型的训练结果优于一般机器学习方法和CNN。A promising network intrusion detection algorithm is…☆9Updated last year
- 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。☆23Updated last year
- Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Ne…☆11Updated 8 months ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…☆32Updated 3 years ago
- Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Fl…☆14Updated 11 months ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- ☆24Updated last year
- Detection of IoT devices infected by malwares from their network communications, using federated machine learning☆39Updated 10 months ago
- Federated Learning in Network Intrusion Detection☆11Updated 2 years ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆13Updated last year
- NEGSC☆36Updated 10 months ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆21Updated 2 years ago