Comparison of evolutionary algorithms used to solve the optimization problem of information security of distributed systems

Public organizations lack adequate models and methods to efficiently support and manage processes related to information security and IT investments. The objective is to optimize the management of strategic projects planned to improve the information security of a public organization and make efficient use of its available resources. The deductive method and exploratory research were used to review and analyze the available information. A mathematical model resulted that optimizes two objectives: (1) minimizing the costs of the strategic projects to be executed, and (2) maximizing the percentage of improvement in the organization’s information security. According to the result of the simulation, a subset of planned strategic projects was obtained that allows improving the information security of a public organization from 84.64% to 92.20%, considering the budgetary limitations of the organization. It was concluded that the proposed model is efficient, practical and can be a support tool for the IT management of a public organization.

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Model to Optimize the Management of Strategic Projects Using Genetic Algorithms in a Public Organization

Izurieta

Toapanta

Morales

et al. 2022

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Comparison of evolutionary algorithms used to solve the optimization problem of information security of distributed systems

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Model to Optimize the Management of Strategic Projects Using Genetic Algorithms in a Public Organization

Model to Optimize the Management of Strategic Projects Using Genetic Algorithms in a Public Organization

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