Finding secure communication channels via rainbow antimagic coloring of m-splitting graphs of paths

[EN] Rainbow graph coloring constitutes a useful tool to strengthen conventional connectivity and ensure secure transmission of classified information among the nodes of a communication network. This infomation flows in a secure way via rainbow paths, where colors represent distinct firewalls that prevent intruder attacks. Computing the so-called rainbow connection number enables one to optimize the related protocol by minimizing the number of these firewalls. This paper delves into this topic by dealing with the rainbow graph coloring of m-splitting graphs of paths. Based on the creation of duplicated phantom nodes, this family of graphs allows the creation of new firewalls and secure communication channels among the original nodes

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Publication Details

Journal
Buleria (Universidad de León)
Published
2025-01-01
Primary Topic
Advanced Graph Theory Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Finding secure communication channels via rainbow antimagic coloring of m-splitting graphs of paths

Buleria (Universidad de León)
Advanced Graph Theory Research
article

Finding secure communication channels via rainbow antimagic coloring of m-splitting graphs of paths

article en

Abstract

[EN] Rainbow graph coloring constitutes a useful tool to strengthen conventional connectivity and ensure secure transmission of classified information among the nodes of a communication network. This infomation flows in a secure way via rainbow paths, where colors represent distinct firewalls that prevent intruder attacks. Computing the so-called rainbow connection number enables one to optimize the related protocol by minimizing the number of these firewalls. This paper delves into this topic by dealing with the rainbow graph coloring of m-splitting graphs of paths. Based on the creation of duplicated phantom nodes, this family of graphs allows the creation of new firewalls and secure communication channels among the original nodes

Buleria (Universidad de León)
Orthopaedic Research Group (IN)
Ministerio de Ciencia e Innovación
Openalex Percentile: Top 47%
Advanced Graph Theory Research
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