TopVenues: An Executable Corpus and Research Tool for Cybersecurity Literature Reviews

• Sidnei Barbieri ITA
• Ágney Lopes Roth Ferraz ITA
• Lourenço Alves Pereira Júnior ITA

DOI: https://doi.org/10.5753/sbseg_estendido.2026.33733

Resumo

Cybersecurity literature reviews depend on a stable denominator: the papers eligible for screening before synthesis begins. In practice, researchers reconstruct this denominator from changing portals, APIs, and exports, making the resulting corpus difficult to audit or reuse. TopVenues makes corpus construction an executable research artifact. Given a declared venue and year scope, it normalizes DBLP metadata, enriches records with abstracts and BibTeX, and materializes a monotonic SQLite snapshot exposed through a command-line interface, a web application, ranked search, and review-oriented exports. The release declares its venue policy, distinguishes bibliographic records from abstract-enriched records, and records field-level provenance. A reviewer can verify a pinned snapshot offline, exercise ranked search and exports, and reproduce the snapshot-bound workflows included with the release. The tool therefore provides both a usable literature workbench and a fixed, inspectable population for cybersecurity measurement.

Referências

Ammar, W. et al. (2018). Construction of the literature graph in Semantic Scholar. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), pages 84–91, New Orleans, Louisiana. Association for Computational Linguistics.

Barbieri, S., De Souza, F. L. D. S., Teixeira, M. A., Marcondes, C. A. C., and Pereira, L. A. (2025). Searching for diamonds: Cross-domain opportunities in cyber threat intelligence. IEEE Access, 13:189554–189588.

Center for History and New Media (2006). Zotero: A free, easy-to-use research tool. Available: [link].

CORE (2023). CORE – computing research and education: Conference rankings. Available: [link].

Ley, M. (2009). DBLP: Some lessons learned. Proceedings of the VLDB Endowment, 2(2):1493–1500.

Lo, K., Wang, L. L., Neumann, M., Kinney, R., and Weld, D. S. (2020). S2ORC: The semantic scholar open research corpus. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 4969–4983.

Olszewski, D., Tucker, T., Butler, K. R. B., and Traynor, P. (2025). SoK: Towards a unified approach to applied replicability for computer security. In 34th USENIX Security Symposium, pages 469–488. USENIX Association.

Ouzzani, M., Hammady, H., Fedorowicz, Z., and Elmagarmid, A. (2016). Rayyan-a web and mobile app for systematic reviews. Systematic Reviews, 5(1):210.

Priem, J., Piwowar, H., and Orr, R. (2022). OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts. arXiv preprint arXiv:2205.01833.

van de Schoot, R. et al. (2021). An open source machine learning framework for efficient and transparent systematic reviews. Nature Machine Intelligence, 3:125–133.