ghosh64 / transferability
Improving Transferability of Network Intrusion Detection in a Federated Learning Setup
☆12Updated last year
Alternatives and similar repositories for transferability:
Users that are interested in transferability are comparing it to the libraries listed below
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆28Updated 2 years ago
- ☆9Updated 2 years ago
- Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Ne…☆10Updated 8 months ago
- FL-based intrusion detection system development using model averaging.☆36Updated 2 years ago
- NEGSC☆38Updated 10 months ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆45Updated last year
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆21Updated last year
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆13Updated last year
- ☆40Updated 2 years ago
- ☆21Updated 5 months ago
- Federated PCA on Grassmann Manifold for IoT Anomaly Detection☆18Updated 8 months ago
- FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection☆15Updated 2 weeks ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆21Updated 2 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆16Updated 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…☆10Updated last year
- ☆13Updated 2 years ago
- A PyTorch implementation of of Anomal-E.☆33Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆34Updated 4 years ago
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆12Updated last month
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆16Updated last year
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆13Updated last year
- ☆19Updated 2 months ago
- Code for the paper: "AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection" (Infocom 2024)☆17Updated 4 months ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆22Updated 4 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 "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆13Updated 2 years ago
- Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.☆32Updated last year