netsharecmu/NetShare
(SIGCOMM '22) Practical GAN-based Synthetic IP Header Trace Generation using NetShare
This tool helps network engineers and researchers generate realistic, synthetic network traffic data. You input real IP packet or flow header traces, and it produces artificial traces that mimic the statistical properties and patterns of the original data. This is useful for tasks like network telemetry, anomaly detection, or system provisioning, especially when real data is sensitive or scarce.
No commits in the last 6 months.
Use this if you need to create artificial network traffic data that accurately reflects real-world patterns for testing or analysis, without compromising actual network privacy.
Not ideal if you require synthetic data that is perfectly identical to individual real network packets, as this tool focuses on statistical fidelity rather than exact replication.
Stars
96
Forks
28
Language
Python
License
BSD-3-Clause-Clear
Category
Last pushed
Oct 08, 2023
Commits (30d)
0
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