AHP-TOPSIS-Based Cybersecurity Control Prioritization for Local E-Government: Integrating COBIT 2019 and ISO/IEC 27001:2022 in Ecuador

Authors

  • Gabriel Neptalí Bailón Arcentales Universidad Bolivariana del Ecuador (UBE), Guayaquil, Ecuador
  • Jair Andrés Semblantes Pinto Universidad Bolivariana del Ecuador (UBE), Guayaquil, Ecuador
  • Noel Batista Hernández Universidad Bolivariana del Ecuador (UBE), Guayaquil, Ecuador

DOI:

https://doi.org/10.5281/zenodo.22825222

Keywords:

cybersecurity governance, AHP-TOPSIS, COBIT 2019, ISO 27001, local e-government, MCDM, EGSI Ecuador

Abstract

Local governments in Ecuador manage critical citizen services yet operate with limited cybersecurity maturity. This paper presents MPEC-GAD, a cybersecurity governance model integrating COBIT 2019 strategic alignment with ISO/IEC 27001:2022 technical controls, using AHP-TOPSIS multi-criteria prioritization. Applied to GAD Jaramijó (Manabí, Ecuador), the model uses a reported baseline MIL of 1.0 and treats 2.8 within 36 months as a planning target, not an observed outcome (+1.8 points). The four decision criteria weight risk reduction at 48.24%, implementation cost at 27.18%, deployment time at 15.75%, and technical complexity at 8.83% (AHP Consistency Ratio CR = 0.0054 < 0.10). The TOPSIS ranking directs scarce resources toward the 47 mandatory EGSI controls with highest risk-reduction per investment unit. The model addresses LOPDP compliance requirements (up to 3% revenue penalties) and aligns with Ecuador's EGSI v3.0. A single-round structured review by seven experts rated pertinence, viability and completeness with mean scores ≥4.0/5.0.

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Table 3: Top-5 ISO/IEC 27001:2022 controls by TOPSIS ranking (Ci*)

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Published

2026-09-18 — Updated on 2026-09-19

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How to Cite

Bailón Arcentales, G. N., Semblantes Pinto, J. A., & Batista Hernández, N. (2026). AHP-TOPSIS-Based Cybersecurity Control Prioritization for Local E-Government: Integrating COBIT 2019 and ISO/IEC 27001:2022 in Ecuador. Neutrosophic Sets and Systems, 101, 204-209. https://doi.org/10.5281/zenodo.22825222 (Original work published 2026)

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