TY - JOUR
T1 - Model to Optimize the Management of Strategic Projects Using Genetic Algorithms in a Public Organization
AU - Romero Izurieta, Richard
AU - Toapanta Toapanta, Segundo Moisés
AU - Caucha Morales, Luis Jhony
AU - Hifóng, María Mercedes Baño
AU - Gómez Díaz, Eriannys Zharayth
AU - Mafla Gallegos, Luis Enrique
AU - Maciel Arellano, Ma Roció
AU - Orizaga Trejo, José Antonio
N1 - Publisher Copyright:
© 2022 by the authors.
PY - 2022/11
Y1 - 2022/11
N2 - 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.
AB - 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.
KW - BPNN
KW - genetic algorithm
KW - information security
KW - mathematical model
KW - multi-objective optimization
KW - NSGA-II
UR - http://www.scopus.com/inward/record.url?scp=85141671364&partnerID=8YFLogxK
U2 - 10.3390/info13110533
DO - 10.3390/info13110533
M3 - Artículo
AN - SCOPUS:85141671364
SN - 2078-2489
VL - 13
JO - Information (Switzerland)
JF - Information (Switzerland)
IS - 11
M1 - 533
ER -