arXiv：cs.AI· Josef Koumar, Karel Hynek, Kamil Jerabek, Pavel Siska·· 16 小时前
CESNET-TimeSeries26：面向年度季节性、概念漂移与长期异常检测的多年度网络流量时间序列数据集
CESNET-TimeSeries26: A Multi-Year Network Traffic Time Series Dataset for Annual Seasonality, Concept Drift, and Long-Term Anomaly Detection
AI 导读
CESNET 发布 CESNET-TimeSeries26 数据集，包含来自 CESNET3 网络的 995 天连续流量时间序列，其中一个子网跨度约 4.5 年，覆盖 278,466 个 IP 地址、285 家机构和 566 个机构子网，提供三种聚合间隔。
正文
Abstract:Forecast-based models are fundamental to network traffic management and anomaly detection. However, it is essential to evaluate these forecasting models over extended periods of time in order to assess their adaptability to unexpected phenomena and shifts in underlying patterns. This kind of long-term evaluation requires multi-year data to account for yearly seasonality and behavioral drift. Existing public datasets are too short to support such long-horizon forecasting tasks. We introduce CESNET-TimeSeries26, comprising 995 days of continuous traffic time series from the CESNET3 network, together with a single subnet spanning approximately 4.5 years. The dataset captures 278,466 IP addresses, 285 institutions, and 566 institutional subnets at three aggregation intervals. The dataset provides a definitive longitudinal benchmark for evaluating forecasting models in both operational management and security monitoring. We demonstrate that annual seasonality is the dominant periodic component. Moreover, we show that a forecasting model can exploit the annual component only when its training window covers at least one complete annual cycle, which no sub-year dataset provides.
| Subjects: | Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Networking and Internet Architecture (cs.NI) |
| Cite as: | arXiv:2610.14799 [cs.AI] |
| (or arXiv:2610.14799v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.14799 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Josef Koumar Ph.D. [view email]
[v1]
Sat, 10 Oct 2026 10:49:09 UTC (2,888 KB)
来源：arXiv：cs.AI · arxiv.org