Expert System for Troubleshooting A Local Area Network (LAN)

Authors

  • Julissa Elizabeth Reyna-González Professor at the university Universidad Nacional Hermilio Valdizan
  • Marco Antonio Villavicencio Cabrera Professor at the university Universidad Nacional Hermilio Valdizan
  • Víctor Pedro Cuadros Ojeda Professor at the university Universidad Nacional Hermilio Valdizan
  • Dra. Fiorela Anaí Fernández-Otoya Professor at the university Universidad Nacional Hermilio Valdizan
  • Dra. Lourdes Lucila Céspedes Aguirre Professor at the university Universidad Nacional Hermilio Valdizan

Keywords:

Expert System, LAN, Artificial Intelligence, Production Rules, Java Programming

Abstract

The present research work called "EXPERT SYSTEM TO DIAGNOSE AND PROPOSE THE SOLUTION OF FAILURES IN A LOCAL AREA NETWORK OF THE SECURITY AND NETWORK MANAGEMENT CENTER" will allow the development of a prototype of an expert system that will help to propose the immediate solution to failures at the level of connectivity hardware, interface hardware, communication software, and user failures in the LAN. This information was provided to us by the owner of the company where all network improvement activities will take place.

In this research work, surveys were carried out aimed at network technical personnel and users with basic knowledge of computing and telecommunications who work in the company at the Network Security and Management Center in order to diagnose failures in the LAN network and propose an expert system. Network specialists were consulted, questioned and interviewed and information was obtained that later allowed the knowledge to be processed in natural language, to then formulate the production and reasoning rules of the process using the java programming language for the design of the prototype that was finally submitted. to a simulation of tests on some computer equipment, as well as the development of an explanatory module, so that anyone with basic knowledge of networks and communications can use it.

Downloads

Download data is not yet available.

References

Tashmetov, K., Aliev, R., Aliev, M., & Tashmetov, I. (2022). Expert system for diagnosing faults railroad switch of automation and telemechanic systems. 2021 ASIA-PACIFIC CONFERENCE ON APPLIED MATHEMATICS AND STATISTICS. [Enlace DOI: 10.1063/5.0089488]

Xu, H., Li, P., Cong, Z., Pan, Y., Wu, Z., & Ren, X. (2021). Research on Fault Diagnosis Method of Electric Energy Metering Equipment Based on Expert System. IOP Conference Series: Earth and Environmental Science, 632(4), 042072. [Enlace DOI: 10.1088/1755-1315/632/4/042072]

Zhou, C., Guo, D., & Zhang, C. (2021). Research on Server Fault Diagnosis Based on Expert System. Lecture Notes in Electrical Engineering, 213-220. [Enlace DOI: 10.1007/978-981-33-6318-2_27]

Calderon Espinoza, Gabriela. (2001). Propuesta de un sistema para detección de fallas con ayuda de agentes cooperantes. Girona.

Figueredo Luna, John Alejandro. (S.F.). Aprender Libre. [Enlace URL: https://aprender-libre.com/principales-ramas-de-la-inteligencia-artificial/]

Juárez Paiz, Hugo Rolando. (1996). NETFIGURADOR: El sistema experto en configuración de redes de área local. Guatemala.

Henao, M. (1983). CommonKADS: Una buena herramienta para la gerencia del conocimiento. Identificable: Revista Universidad EAFIT.

NetApp. (S.F.). NetApp. [Enlace URL: https://www.netapp.com/artificial-intelligence/what-is-artificial-intelligence/]

Rodríguez Paladines, Gabriel Alfonso. (2016). Implementación de un prototipo de laboratorio para el estudio de ataques de seguridad en redes. Quito.

Sancho Caparrini, Fernando. (22 de Septiembre de 2021). Windmi/1 Web Work. [Enlace URL: https://www.cs.us.es/~fsancho/]

Caparrini, FS y Windmill Web Work. (2021, 22 de septiembre). Breve Historia de la Inteligencia Artificial. Cs.Us.Es. [Enlace URL: https://dialnet.unirioja.es/servlet/articulo?codigo=6503791]

Downloads

Published

30.11.2023

How to Cite

Reyna-González, J. E. ., Villavicencio Cabrera, M. A. ., Ojeda, V. P. C. ., Anaí Fernández-Otoya, D. F. ., & Céspedes Aguirre, D. L. L. . (2023). Expert System for Troubleshooting A Local Area Network (LAN). International Journal of Intelligent Systems and Applications in Engineering, 12(6s), 633–649. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/4003

Issue

Vol. 12 No. 6s (2024)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.