orion-orion/AIFlow

🎈 2020年中国高校计算机大赛(C4)-网络技术挑战赛EP2决赛赛项:基于CNN+LSTM时空神经网络的在线流量分类模型。

37
/ 100
Emerging

This project helps network and security operations teams understand what kind of traffic is flowing through their networks in real-time. It takes raw network traffic data, like URL packets, and classifies it into normal business, malware, or cyber-attack categories. Network security analysts or operations engineers can use this to quickly identify suspicious activity.

No commits in the last 6 months.

Use this if you need to automatically categorize network traffic to detect malware and cyber-attacks, and want to visualize these changes over time.

Not ideal if you are looking for a plug-and-play solution that doesn't require familiarity with machine learning training and evaluation workflows.

network-security traffic-analysis cybersecurity-monitoring intrusion-detection network-operations
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 13 / 25

How are scores calculated?

Stars

53

Forks

7

Language

Python

License

MIT

Last pushed

Feb 19, 2023

Commits (30d)

0

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