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Un marco de ciberseguridad impulsado por IA generativa para el desarrollo de software de pequeñas y medianas

Mujtaba Awan1, Abu Alam1, Rafiq Ahmad Khan2

  • 1School of Computing and Engineering, University of Gloucestershire, Cheltenham, UK.

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Este estudio presenta un modelo generativo de IA para mejorar la ciberseguridad de las pequeñas y medianas empresas (PYMES) en el desarrollo de software. El modelo mejora la detección y respuesta de amenazas, ofreciendo una solución escalable para la seguridad en línea de las PYMES.

Palabras clave:
ANN-ISMEstudio de casoAmenazas de ciberseguridadEncuesta empíricaPrácticas de IA generativaRevisión de literatura multivocalPequeñas y medianas empresas (PYMES)Desarrollo de software

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Área de la Ciencia:

  • Ciberseguridad
  • Inteligencia Artificial
  • Ingeniería de Software

Sus antecedentes:

  • Las pequeñas y medianas empresas (PYMES) enfrentan desafíos únicos de ciberseguridad.
  • Las prácticas efectivas de ciberseguridad son cruciales para las PYMES en el desarrollo de software.
  • La IA generativa ofrece soluciones potenciales para mejorar la ciberseguridad de las PYMES.

Objetivo del estudio:

  • Presentar un modelo generativo basado en IA para abordar las amenazas de ciberseguridad en el desarrollo de software de PYMES.
  • Aprovechar la IA generativa para mejorar la detección, prevención y respuesta de amenazas en las PYMES.
  • Evaluar la efectividad del modelo para mejorar la seguridad en línea de las PYMES.

Principales métodos:

  • Revisión de literatura multivocal (MLR) y encuesta empírica para identificar amenazas y prácticas de IA.
  • Red Neuronal Artificial (ANN) para la predicción de amenazas basada en datos históricos.
  • Modelo Estructural Interpretativo (ISM) para visualizar las relaciones de mitigación de amenazas y la gestión de riesgos.

Principales resultados:

  • El modelo de IA propuesto mejora significativamente la seguridad en línea de las PYMES.
  • El modelo permite la rápida adopción de prácticas basadas en IA para la detección y respuesta de amenazas.
  • El phishing y el ransomware se evaluaron como amenazas 'Avanzadas', mientras que la evasión guiada por IA y los ataques de día cero se encuentran en etapas tempranas de desarrollo.

Conclusiones:

  • La IA generativa es un enfoque viable y escalable para reforzar la ciberseguridad de las PYMES.
  • Las prácticas basadas en IA pueden proteger sistemáticamente a las PYMES contra diversas ciberamenazas.
  • La investigación futura debe abordar estrategias avanzadas de amenazas y desafíos de implementación en entornos con recursos limitados.