A Comprehensive Study on Lightweight Convolution Techniques for Malicious Traffic Synthesis in Diffusion Models

Network security relies on effective and accurate malicious traffic detection, which is increasingly important for edge devices. As computing resources are distributed across many devices, detecting malicious traffic at the edge becomes crucial. Additionally, the lack of high-quality malicious traff...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Fuhao Li, Ifiok Udoidiok, Jielun Zhang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Malicious traffic detection diffusion models edge computing synthetic data generation
Online-Zugang:	https://ieeexplore.ieee.org/document/10979370/
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