☆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
Sorting:
- ☆36Jun 10, 2024Updated last year
- EBSNN: Extended Byte Segment Neural Network for Network Traffic Classification☆18Jul 28, 2021Updated 4 years ago
- ☆23Aug 8, 2022Updated 3 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Apr 18, 2023Updated 2 years ago
- ☆11Sep 8, 2022Updated 3 years ago
- ☆13Sep 23, 2024Updated last year
- Packet Representation Learning for Traffic Classification☆32Dec 19, 2024Updated last year
- Code for Mateen: Adaptive Ensemble Learning for Network Anomaly Detection☆16Feb 27, 2025Updated last year
- AutoML4ETC, a tool to automatically design efficient and high-performing neural architectures for encrypted traffic classification.☆12Feb 19, 2024Updated 2 years ago
- Code for the paper: "AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection" (Infocom 2024)☆33Dec 6, 2024Updated last year
- ☆10Jan 4, 2024Updated 2 years ago
- ☆16May 9, 2022Updated 3 years ago
- Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic☆60Jan 7, 2025Updated last year
- It is a network traffic classifier based on deep learning.☆50Mar 16, 2024Updated last year
- FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data☆29Mar 1, 2022Updated 4 years ago
- 基于winpcap的数据包解析工具；比tshark更快。☆17Jul 1, 2020Updated 5 years ago
- ☆13May 15, 2022Updated 3 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…☆15May 18, 2022Updated 3 years ago
- CREME: A toolchain of automatic dataset collection for machine learning in intrusion detection☆16Sep 30, 2023Updated 2 years ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆144Mar 25, 2023Updated 2 years ago
- ☆18Jun 16, 2023Updated 2 years ago
- ☆18May 9, 2024Updated last year
- ☆19Mar 18, 2021Updated 4 years ago
- Code to go with the paper "Real-Time Detection of Dictionary DGA Network Traffic using Deep Learning"☆19Jun 15, 2020Updated 5 years ago
- agurim: a multi-dimensional flow aggregation tool☆21Jul 5, 2019Updated 6 years ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆15Jun 7, 2021Updated 4 years ago
- Materials about Encrypted Traffic Analysis☆319Feb 3, 2026Updated last month
- Implementation of AppScanner☆46Jul 29, 2022Updated 3 years ago
- ☆21Jan 27, 2025Updated last year
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆15May 17, 2022Updated 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 6 years ago
- Application of novel EC-GAN method on Network Intrusion Detection☆24Dec 24, 2021Updated 4 years ago
- The repository of FastTraffic, A lightweight method for encrypted traffic fast classification.☆27Dec 27, 2024Updated last year
- ☆18Aug 22, 2022Updated 3 years ago
- ☆56Sep 6, 2023Updated 2 years ago
- ☆24Sep 16, 2022Updated 3 years ago
- ☆30Oct 7, 2025Updated 4 months ago
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆24Jan 6, 2019Updated 7 years ago
- A tunneled flooding traffic detection system.☆30Dec 3, 2024Updated last year