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The tourism industry has emerged as a primary target for cyber threats, owing to its dependence on interconnected systems and digital services. Despite this, numerous organizations still rely on reactive security strategies, which may be inadequate in protecting the increasingly sophisticated technological infrastructures. This paper presents the VIG-IA platform, an intelligent system designed to defend tourism infrastructures against evolving cyber threats. The system incorporates modules for automated threat ingestion, Deep Neural Network classification, Case-Based Reasoning for incident management, and continuous simulation of attack scenarios. Reinforcement Learning agents within the simulation environment highlight system vulnerabilities and refine defensive strategies.

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Cognitive System Based on Threat Intelligence and Continuous Simulation for the Prevention of Cyber-Attacks in the Value Chain of the Tourism Sector

  • 会议论文

  • 发表日期：

    2026年

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  • Javier García-Pechero,
  • Manuel López-Pérez,
  • Marta Plaza-Hernández,
  • Javier Prieto,
  • M. Luisa Pérez-Delgado,
  • M. Angélica González-Arrieta

摘要

The tourism industry has emerged as a primary target for cyber threats, owing to its dependence on interconnected systems and digital services. Despite this, numerous organizations still rely on reactive security strategies, which may be inadequate in protecting the increasingly sophisticated technological infrastructures. This paper presents the VIG-IA platform, an intelligent system designed to defend tourism infrastructures against evolving cyber threats. The system incorporates modules for automated threat ingestion, Deep Neural Network classification, Case-Based Reasoning for incident management, and continuous simulation of attack scenarios. Reinforcement Learning agents within the simulation environment highlight system vulnerabilities and refine defensive strategies.