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

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Authors: Fahdah Alalyan, Franco Cirillo, Christian Esposito, Wael Jaafar, Rami Langar
Cited by: 0

Abstract

"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."

Fields of Study & Subjects

Network Security and Intrusion Detection Software-Defined Networks and 5G Network Packet Processing and Optimization

Publication details

Journal / source
IEEE DataPort
Publication date
16 February 2026
Language
EN
Document type
Dataset