Paper Detail

NetSecBed: A Container-Native Testbed for Reproducible Cybersecurity Experimentation

Leonardo Bitzki, Diego Kreutz, Tiago Heinrich, Douglas Fideles, Leandro Bertholdo, Silvio Quincozes, Angelo Diniz

arxiv Score 8.5

Published 2026-04-05 · First seen 2026-04-07

Research Track A

Abstract

Cybersecurity research increasingly depends on reproducible evidence, such as traffic traces, logs, and labeled datasets, yet most public datasets remain static and offer limited support for controlled re-execution and traceability, especially in heterogeneous multi-protocol environments. This paper presents NetSecBed, a container-native, scenario-oriented testbed for reproducible generation of network traffic evidence and execution artifacts under controlled conditions, particularly suitable for IoT, IIoT, and pervasive multi-protocol environments. The framework integrates 60 attack scenarios, 9 target services, and benign traffic generators as single-purpose containers, enabling plug-and-play extensibility and traceability through declarative specifications. Its pipeline automates parametrized execution, packet capture, log collection, service probing, feature extraction, and dataset consolidation. The main contribution is a repeatable, auditable, and extensible framework for cybersecurity experimentation that reduces operational bias and supports continuous dataset generation.

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BibTeX

@article{bitzki2026netsecbed,
  title = {NetSecBed: A Container-Native Testbed for Reproducible Cybersecurity Experimentation},
  author = {Leonardo Bitzki and Diego Kreutz and Tiago Heinrich and Douglas Fideles and Leandro Bertholdo and Silvio Quincozes and Angelo Diniz},
  year = {2026},
  abstract = {Cybersecurity research increasingly depends on reproducible evidence, such as traffic traces, logs, and labeled datasets, yet most public datasets remain static and offer limited support for controlled re-execution and traceability, especially in heterogeneous multi-protocol environments. This paper presents NetSecBed, a container-native, scenario-oriented testbed for reproducible generation of network traffic evidence and execution artifacts under controlled conditions, particularly suitable fo},
  url = {https://arxiv.org/abs/2604.04121},
  keywords = {cs.CR, cs.AI, cs.NI, cs.PF},
  eprint = {2604.04121},
  archiveprefix = {arXiv},
}

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