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"A low-latency, short-horizon dataset for rapid cyberattack detection in 5G O-RAN environments."

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DataCite Commons2026-02-16 更新2026-05-03 收录
下载链接:
https://ieee-dataport.org/documents/low-latency-short-horizon-dataset-rapid-cyberattack-detection-5g-o-ran-environments
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资源简介:
"This dataset releases real packet capture (PCAP) files collected from a 5G Open Radio Access Network (O-RAN) testbed over short time windows (\u224840 s) to support reproducible research on low-latency cyberattack detection at the network edge. The captures were recorded under controlled scenarios that include benign TCP\/HTTP communications and Distributed Denial-of-Service (DDoS) flooding traffic, covering TCP SYN flood and UDP flood cases. The dataset is designed as a short-horizon benchmark to capture rapid attack dynamics under realistic O-RAN operating conditions. Since the release consists of raw PCAPs, users may extract flow- or packet-level features using their preferred toolchains (e.g., LUCID or Argus) and use the traces to evaluate time-critical and data-efficient security analytics, including decentralized and federated learning (FL) workflows."
提供机构:
IEEE DataPort
创建时间:
2026-02-16
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