Chaomeng-Lu / MAML-CNN-FSIDS-IoT
A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things
☆12Updated 2 months ago
Alternatives and similar repositories for MAML-CNN-FSIDS-IoT
Users that are interested in MAML-CNN-FSIDS-IoT are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆15Updated last year
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Updated 2 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…☆14Updated 2 years ago
- ☆10Updated last year
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- A PyTorch implementation of of Anomal-E.☆34Updated 2 years ago
- ☆18Updated 4 years ago
- ☆9Updated last year
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆44Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 7 months ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 8 months ago
- ☆9Updated 2 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆33Updated 2 years ago
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- This repository is a proof of concept of algorithms described in T-DFNN: An Incremental Learning Algorithm for Intrusion Detection System…☆16Updated 2 years ago
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆13Updated 2 years ago
- ☆41Updated 2 years ago
- ☆24Updated last year
- ☆48Updated 3 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆22Updated 3 years ago
- ☆19Updated 3 months ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 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
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated last year
- Generative adversarial networks for Network Intrusion Benchmark datasets☆35Updated 9 months ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆13Updated last year