mlopezm / Supervised-contrastive-learning-over-prototype-label-embeddings
Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"
☆15Updated 3 years ago
Alternatives and similar repositories for Supervised-contrastive-learning-over-prototype-label-embeddings:
Users that are interested in Supervised-contrastive-learning-over-prototype-label-embeddings are comparing it to the libraries listed below
- ☆19Updated last month
- ☆10Updated last year
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆16Updated last year
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆14Updated 2 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- ☆16Updated 4 years ago
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆11Updated 3 weeks ago
- NEGSC☆36Updated 9 months ago
- ☆21Updated 4 years ago
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆12Updated 2 years ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.☆17Updated last year
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆45Updated last year
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆19Updated 5 years ago
- Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Ne…☆11Updated 7 months ago
- ☆23Updated last year
- A GAN-based model focused on anomaly detection in discrete dataset☆25Updated 5 years ago
- A PyTorch implementation of of Anomal-E.☆33Updated 2 years ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆21Updated 4 years ago
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆13Updated last year
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- This repository is a proof of concept of algorithms described in T-DFNN: An Incremental Learning Algorithm for Intrusion Detection System…☆14Updated 2 years ago
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆15Updated last year
- 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
- LEXNet: A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification☆12Updated last year
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆31Updated last year
- ☆10Updated last year
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 6 months ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago