Abstract
This study examines hypothetical cybersecurity-application utilisation interventions for Computer Science undergraduates in Enugu State, Nigeria. Five author-supplied datasets, each containing 364 cases, provide audited sex-specific calibration moments for a hybrid agent-based and system-dynamics model. Seven portfolios are compared over 24 months using 400 paired replications; additional experiments examine dose, effect assumptions, targeting, academic calendars, turnover and peer structure. A 1,200-point Latin-hypercube design is applied to every original scenario. Across 37,600 runs, the main-model median proportions meeting the survey utilisation criterion are 26.4%, 48.6% and 50.3% for status quo, universal combined and equity-adaptive provision. However, matching nominal dose reduces the corresponding intervention medians to approximately 34%, and equalising effects and schedules removes the universal combined advantage. Need-only targeting reduces the sex gap under matched aggregate input, while closures, turnover and bidirectional peer influence reduce projected attainment. A transparent relative-resource analysis does not favour combined provision per resource unit. These results describe conditional utilisation projections, not observed intervention effects or verified security protection. Full code, coefficients, input reconciliation and replication outputs accompany the article. The model identifies assumptions requiring empirical evaluation rather than an optimal institutional programme.
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