SyedWaliAbbas / UM-NIDS-ToolLinks
The Unified Multimodal NIDS Dataset Tool performs the standardization of network intrusion detection datasets by extracting comprehensive flow, payload, and contextual features from raw PCAP files, ensuring consistency across datasets and enhancing machine learning-driven threat detection and analysis.
☆14Updated last year
Alternatives and similar repositories for UM-NIDS-Tool
Users that are interested in UM-NIDS-Tool are comparing it to the libraries listed below
Sorting:
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆14Updated last year
- This platform is designed and implemented for encrypted traffic classification using deep learning☆18Updated 2 years ago
- Towards an Explainable Artificial Intelligence Framework for Enhancing Explainability in Network Intrusion Detection Systems☆20Updated last year
- The repository of FastTraffic, A lightweight method for encrypted traffic fast classification.☆27Updated last year
- ☆11Updated 4 years ago
- ☆11Updated 2 years ago
- Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.☆39Updated 2 years ago
- ☆13Updated last year
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆34Updated 2 years ago
- Code for the paper: "AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection" (Infocom 2024)☆31Updated last year
- ☆20Updated 3 years ago
- Implementation of Research Paper titled: An explainable AI based Intrusion Detection System for DNS over HTTPS (DoH) Attacks on CICIDS da…☆10Updated 2 years ago
- Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from T…☆41Updated 9 months ago
- ☆21Updated last year
- Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…☆16Updated 2 years ago
- 论文Encrypted Traffic Classification with One-dimensional Convolution Neural Networks的torch实现☆41Updated 3 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆38Updated 2 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- ☆10Updated 2 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆50Updated last year
- ☆18Updated last year
- ☆31Updated 2 years ago
- Improved Autoencoder-based Ensemble In-vehicle Intrusion Detection System☆13Updated 2 years ago
- Replication of Jay Sinha's Efficient Deep CNN-BiLSTM model for network intrusion detection using NSL-KDD and UNSW-NB15 datasets to unders…☆16Updated last year
- Network Traffic Classification with Graph Neural Networks☆11Updated 2 years ago
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆21Updated 2 years ago
- Network System Intrusion Detection using Graph Neural Networks☆20Updated 2 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆26Updated last year
- GNN4ID: A Toolset for Crafting Graph Neural Network-Based NIDS Datasets☆27Updated 9 months ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆19Updated 2 years ago