Optimization of Human, Technological, Administrative Resources for Decision-Making in Information Security Governance

Abstract

Problems for decision-making in information security governance are persistent because there are no adequate models. The objective is to generate a model that optimizes human, technological and administrative resources for decision-making in the governance of Information Security. The deductive method and exploratory research were used. A resource optimization model with 95% reliability generated by Cronbach's Alpha resulted; the mathematical justification of the business, information and application architecture with 96.13%, 95.89% and 95.20% confidence respectively generated by the Pearson correlation; an enterprise architecture context diagram; and an algorithm expressed with flowchart techniques with 98.21% degree of association in its elements generated by the multiple correlation coefficient. It was concluded that with the proposed model, a company's resources can be optimized for information security governance; so that managers have adequate support for making decisions with a mathematical basis with simulations in quantities of components within the architectures; so that the function in business management becomes simpler by applying a general model that can be adapted to various types of companies to achieve success for decision making in security governance of information security.