Development of a multi-objectives integer programming model for allocation of anti-fraud capacities during cyberfraud mitigation

Purpose This study aims to investigate the feasibility of employing a multi-objectives integer-programming model for effective allocation resources cyberfraud mitigation. The formulated objectives are minimisation total cost anti-fraud capacities and maximisation forensic accounting in all incident prone spots. Design/methodology/approach From literature survey conducted primary qualitative data gathered from 17 licenced banks South Africa on fraud investigators, suggested investigators organisation’s finance department, internal audit committee, external risk manager, accountants accountants. These five human resource were considered formulation integer programming (MOIP) model. MOIP is employed optimisation mitigation ensure utilisation resources. Thus, validated by genetic algorithm (GA) solver obtain Pareto-optimum solution without violation identified constraints. Findings objective functions optimised simultaneously. Pareto front two comprises set optimal solutions, which not dominated any other feasible solution. choices, indicate suitability achieve objectives. Practical implications results obtained simultaneously achieving capacities, or spots – trade-off between them, if they cannot be reached recommends use an iterative framework decision-makers may aid decision-making with respect Originality/value originality this work lies development