Human Behaviour Based Optimization Supported With Self-Organizing Maps for Solving the S-Box Design Problem
dc.contributor.author | Soto, Ricardo | |
dc.contributor.author | Crawford, Broderick | |
dc.contributor.author | González Molina, Francisco | |
dc.contributor.author | Olivares, Rodrigo | |
dc.date.accessioned | 2022-11-30T02:47:00Z | |
dc.date.available | 2022-11-30T02:47:00Z | |
dc.date.issued | 2021 | |
dc.description.abstract | The cryptanalytic resistance of modern block and stream encryption systems mainly depends on the substitution box (S-box). In this context, the problem is thus to create an S-box with higher value of nonlinearity because this property can provide some degree of protection against linear and differential cryptanalysis attacks. In this paper, we design a scheme built on a human behavior-based optimization algorithm, supported with Self-Organizing Maps to prevent premature convergence and improve the nonlinearity property in order to obtain strong 8 ×8 substitution boxes. The experiments are compared with S-boxes obtained using other metaheuristic algorithms such as Ant Colony Optimization, Genetic Algorithm and an approach based on chaotic functions and show that the obtained S-boxes have good cryptographic properties. The obtained S-box is investigated against standard tests such as bijectivity, nonlinearity, strict avalanche criterion, bit independence criterion, linear probability and differential probability, proving that the proposed scheme is proficient to discover a strong nonlinear component of encryption systems. | en_ES |
dc.facultad | Facultad de Ingeniería | en_ES |
dc.file.name | Soto_Hum2021.pdf | |
dc.identifier.citation | R. Soto, B. Crawford, F. G. Molina and R. Olivares, "Human Behaviour Based Optimization Supported With Self-Organizing Maps for Solving the S-Box Design Problem," in IEEE Access, vol. 9, pp. 84605-84618, 2021, doi: 10.1109/ACCESS.2021.3087139. | en_ES |
dc.identifier.doi | 10.1109/ACCESS.2021.3087139. | |
dc.identifier.uri | http://repositoriobibliotecas.uv.cl/handle/uvscl/7549 | |
dc.language | en | |
dc.publisher | IEEE | |
dc.source | IEEE Access | |
dc.subject | CRYPTOGRAPHY | en_ES |
dc.subject | SUBSTITUTION BOX | en_ES |
dc.subject | SELF-ORGANIZING MAPS | en_ES |
dc.subject | METAHEURISTICS | en_ES |
dc.title | Human Behaviour Based Optimization Supported With Self-Organizing Maps for Solving the S-Box Design Problem | |
dc.type | Articulo | |
uv.departamento | Escuela de Ingenieria Informatica |
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