rdpahalavan/nids-transformers
Tag Generation and Text Generation Inference for Network Packets using Transformers
This tool helps network security analysts and operations engineers understand network traffic better. By taking raw network packet data (like a hexadecimal stream from Wireshark) and related flow information, it generates descriptive tags and plain-language text explanations. This allows security professionals to quickly interpret packet contents and identify normal or potentially malicious activity.
No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly get human-readable summaries and tags for individual network packets to aid in analysis and incident response.
Not ideal if you need to perform real-time, high-volume anomaly detection across entire network flows or require deep packet inspection beyond interpretive text.
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11
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Language
Python
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Category
Last pushed
Jul 22, 2023
Commits (30d)
0
Dependencies
13
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