TDDM-Melatt: A Decoupled Memory and Diffusion Framework for Generalizable Encrypted Traffic Classification
cs.LG
Submitted: 2026-08-31
Updated: 2026-09-11
Comments: 18 pages, 13 figures, 9 tables, accepted at the 2026 ACM Conference on Computer and Communications Security (CCS 2026)
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- netFound: Principled Design for Network Foundation Models
- When Simple Model Just Works: Is Network Traffic Classification in Crisis?
- Lens: A Knowledge-Guided Foundation Model for Network Traffic
- GMA-SAWGAN-GP: A Novel Data Generative Framework to Enhance IDS Detection Performance
- Denoising Diffusion Implicit Models
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