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AI-Based Adaptive Loyalty Program Vulnerability Detection in Hotel Reservation Systems

  • Unique Paper ID: 168867
  • Volume: 10
  • Issue: 5
  • PageNo: 457-462
  • Abstract:
  • Loyalty programs have become a cornerstone of customer retention strategies in the hospitality industry, particularly for hotel chains. However, their widespread use makes them prime targets for cyberattacks, exposing personal data and system vulnerabilities. Traditional security solutions are often inadequate in defending against sophisticated, multi-platform cyber threats. This paper proposes an AI-based adaptive model using federated learning to detect and respond to vulnerabilities in hotel loyalty programs. Federated learning enables the aggregation of insights from multiple hotel chains without compromising customer privacy, allowing for real-time anomaly detection across distributed systems. The model identifies potential attacks by analyzing anomalous patterns and offering preemptive responses. This approach introduces a novel layer of cybersecurity for hotel loyalty programs by addressing cross-platform vulnerabilities. Our findings demonstrate that AI, when combined with federated learning, can significantly enhance the security of loyalty programs while preserving data privacy and system integrity.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 5
  • PageNo: 457-462

AI-Based Adaptive Loyalty Program Vulnerability Detection in Hotel Reservation Systems

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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