☆24Nov 9, 2020Updated 5 years ago
Alternatives and similar repositories for fine-grained-unknown-attack-detection
Users that are interested in fine-grained-unknown-attack-detection are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆43Jun 10, 2024Updated 2 years ago
- EBSNN: Extended Byte Segment Neural Network for Network Traffic Classification☆18Jul 28, 2021Updated 5 years ago
- ☆16Jun 25, 2026Updated 2 months ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Apr 18, 2023Updated 3 years ago
- ☆11Apr 7, 2026Updated 4 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆15Sep 23, 2024Updated last year
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆14May 18, 2022Updated 4 years ago
- FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data☆31Mar 1, 2022Updated 4 years ago
- ☆10Jan 4, 2024Updated 2 years ago
- Detection of Unknown Attacks: A Gaussian Prototype-Aided Variational Autoencoder Framework☆17Sep 26, 2025Updated 11 months ago
- ☆19Mar 18, 2021Updated 5 years ago
- ☆17May 9, 2024Updated 2 years ago
- Packet Representation Learning for Traffic Classification☆34Dec 19, 2024Updated last year
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆15Jun 7, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- It is a network traffic classifier based on deep learning.☆54Mar 16, 2024Updated 2 years ago
- ☆21Apr 8, 2026Updated 4 months ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆148Mar 25, 2023Updated 3 years ago
- A disentangled intrusion detection method to handle various intrusion detection scenarios, e.g. known attacks, unknown attacks, and few-s…☆25May 26, 2026Updated 3 months ago
- Application of novel EC-GAN method on Network Intrusion Detection☆25Dec 24, 2021Updated 4 years ago
- ☆60Sep 6, 2023Updated 2 years ago
- Fragments-Expert is a software package for feature extraction from file fragments and classification among various file formats.☆13Jan 16, 2024Updated 2 years ago
- AutoML4ETC, a tool to automatically design efficient and high-performing neural architectures for encrypted traffic classification.☆12Feb 19, 2024Updated 2 years ago
- Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic☆67Jan 7, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Implementation of AppScanner☆48Jul 29, 2022Updated 4 years ago
- SDN application for implementing the shortest path routing using RYU SDN controller☆10Jul 23, 2019Updated 7 years ago
- Code for the paper: "Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection" (Infocom 2025)☆30Aug 28, 2025Updated last year
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆35Dec 18, 2022Updated 3 years ago
- heiFIP: A tool to convert network traffic into images for ML use cases☆29Mar 27, 2026Updated 5 months ago
- [AAAI2024] Exploring Diverse Representations for Open Set Recognition☆35Jun 16, 2024Updated 2 years ago
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆24Jan 6, 2019Updated 7 years ago
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆38May 11, 2023Updated 3 years ago
- Code for the paper: "AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection" (Infocom 2024)☆45Dec 6, 2024Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆30Sep 8, 2025Updated 11 months ago
- ☆14May 15, 2022Updated 4 years ago
- 基于winpcap的数据包解析工具;比tshark更快。☆17Jul 1, 2020Updated 6 years ago
- ☆20Jun 16, 2023Updated 3 years ago
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆18Aug 20, 2019Updated 7 years ago
- Basic Blockchain-Based Federated Learning Intrusion Detection System☆12Nov 2, 2022Updated 3 years ago
- Follow up to the DREBIN paper☆13Dec 27, 2018Updated 7 years ago