Netdiffus: Network traffic generation by diffusion models through time-series imaging

[PDF] acm.org

NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation

X Jiang, S Liu, A Gember-Jacobson… - Proceedings of the …, 2024 - dl.acm.org
Datasets of labeled network traces are essential for a multitude of machine learning (ML)
tasks in networking, yet their availability is hindered by privacy and maintenance concerns …
被引用次数：4 相关文章 所有 4 个版本
[PDF] arxiv.org

A survey on diffusion models for time series and spatio-temporal data

Y Yang, M Jin, H Wen, C Zhang, Y Liang, L Ma… - arXiv preprint arXiv …, 2024 - arxiv.org
The study of time series data is crucial for understanding trends and anomalies over time,
enabling predictive insights across various sectors. Spatio-temporal data, on the other hand …
被引用次数：2 相关文章 所有 3 个版本
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Data Augmentation for Traffic Classification

C Wang, A Finamore, P Michiardi, M Gallo… - … Conference on Passive …, 2024 - Springer
Data Augmentation (DA)—enriching training data by adding synthetic samples—is a
technique widely adopted in Computer Vision (CV) and Natural Language Processing (NLP) …
相关文章 所有 2 个版本