Architectural Selection Framework for Synthetic Network Traffic: Quantifying the Fidelity–Utility Trade-off
TL;DR
This study introduces an Architectural Selection Framework to quantify the fidelity-utility trade-off in synthetic network traffic, addressing issues like architectural mismatch and scalability failure.
Architectural Selection Framework for Synthetic Network Traffic: Quantifying the Fidelity–Utility Trade-off
Dure Adan Ammara; Jianguo Ding; Kurt Tutschku
https://doi.org/10.1109/ACCESS.2025.3646769
Volume 14
The fidelity and utility of synthetic network traffic are critically compromised by architectural mismatch across heterogeneous network datasets and prevalent scalability failure. This study addresses this challenge by establishing an Architectural Selection Framework that empirically quantifies how data structure compatibility dictates the optimal fidelity-utility trade-off. We systematically eva...