收集了部分将机器学习应用于网络流量分类的论文

machine-learning paper network-classification

• Updated Jul 5, 2020

heiFIP: A tool to convert network traffic into images for ML use cases

python machine-learning netflow pcap packet-analyser cybersecurity image-generator dataset-generation pcap-parser network-classification

• Updated Mar 27, 2026
• C++

CSNet 23 - A generalizable approach for network flow image representation for deep learning

deep-learning convolutional-neural-networks network-traffic network-classification csnet23

• Updated Jul 5, 2023
• Python

Code and example data for transcriptional-data-guided brain network classification

transcriptome brain connectome network-classification brain-omics

• Updated Mar 15, 2023
• R

Your all in one QoS toolkit for distributed systems. Actively monitor, enforce, and test for peak performance. Guarantee low latency, high throughput, and constant availability with sentinel based metrics, policy management, automated testing, alerting, and rich reporting.

hackathon nextjs genmai network-classification llm ollama

• Updated Sep 9, 2025
• TypeScript

Opportunities and challenges in partitioning the graph measure space of real-world networks

machine-learning social-networks feature-selection networkx feature-extraction networks complex-networks network-measures network-analysis igraph affiliation-networks ppi-networks brain-networks skewed-data relevant-feature-analysis network-classification unbalanced-datasets transportation-networks web-networks metabolic-networks

• Updated Feb 1, 2021
• Jupyter Notebook

CyberBERT is a deep learning model for network traffic classification, leveraging the DistilBERT architecture. It processes network flow data to classify various types of network traffic, including benign and malicious patterns, with high accuracy.

deep-learning python3 bert fine-tuning distilbert network-classification cyberbert

• Updated Jun 10, 2025
• Python