[Paper Review] Blockchain-Based Trust and Transparency in Airline Reservation Systems using Microservices Architecture

Biman Barua, M. Shamim Kaiser|arXiv (Cornell University)|Oct 18, 2024

Blockchain Technology Applications and Security4 citations

TL;DR

This paper proposes a blockchain-integrated microservices architecture for airline reservation systems to enhance trust, transparency, and operational efficiency. By leveraging smart contracts and consensus mechanisms, the system reduces booking variations by 30%, improves data synchronization, and achieves 98% reliability with 85% customer trust, demonstrating a single source of truth that mitigates overcomplexity.

ABSTRACT

This research gives a detailed analysis of the application of blockchain technology to the airline reservation systems in order to bolster trust, transparency, and operational efficiency by overcoming several challenges including customer control and data integrity issues. The study investigates the major components of blockchain technology such as decentralised databases, permanent records of transactions and transactional clauses executed via codes of programs and their impacts on automated systems and real-time tracking of audits. The results show a 30% decrease in booking variations together with greater data synchronization as a result of consensus processes and resistant data formations. The approach to the implementation of a blockchain technology for the purpose of this paper includes many APIs for the automatic multi-faceted record-keeping system including the smart contract execution and controllable end-users approach. Smart contracts organized the processes improving the cycle times by 40% on the average while guaranteeing no breach of agreements. In addition to this, the architecture of the system has no single point failure with over 98% reliability while measures taken to improve security have led to 85% of the customers expressing trust in the services provided. In summation, the results suggest that reservations in the airline sector stand a chance of being redefined with blockchain through savoring the benefits of a single source of truth while attempting to resolve this intrinsic problem of overcomplexity. Although the system improves the experience of customers and the level of operational transparency, issues concerning scalability and regulatory adherence. This research is also a stepping stone for further studies that are intended to address these challenges and more applicable to the airline industry.

Motivation & Objective

• To address trust and transparency issues in traditional airline reservation systems due to centralized control and data integrity risks.
• To improve operational efficiency and reduce booking discrepancies through decentralized, immutable transaction records.
• To evaluate the impact of smart contracts and consensus mechanisms on cycle time and system reliability.
• To assess user trust and system resilience in a blockchain-enhanced microservices architecture.
• To identify scalability and regulatory challenges for future research in aviation systems.

Proposed method

• Designing a microservices-based airline reservation system with blockchain as the underlying data layer for immutability and auditability.
• Implementing smart contracts to automate and enforce reservation agreements, reducing manual intervention and errors.
• Using consensus protocols to synchronize data across distributed nodes, ensuring consistency and preventing data tampering.
• Integrating multiple RESTful APIs to support real-time transaction logging, audit tracking, and user-controlled data access.
• Employing cryptographic hashing and blockchain immutability to secure transaction records and ensure data integrity.
• Validating system reliability and performance through simulation and user feedback metrics.

Experimental results

Research questions

• RQ1 How does integrating blockchain technology improve trust and transparency in airline reservation systems?
• RQ2 To what extent do smart contracts reduce cycle times and prevent agreement breaches in reservation workflows?
• RQ3 What impact does a decentralized, consensus-driven architecture have on data synchronization and booking variation rates?
• RQ4 How does the system's reliability and user trust level compare to traditional centralized systems?
• RQ5 What scalability and regulatory challenges emerge in deploying blockchain within airline reservation systems?

Key findings

• The system achieved a 30% reduction in booking variations due to improved data consistency and consensus mechanisms.
• Smart contracts reduced average cycle times by 40% by automating and enforcing reservation agreements without human intervention.
• The architecture demonstrated over 98% reliability, with no single point of failure due to its decentralized microservices design.
• 85% of surveyed customers expressed increased trust in the system, indicating improved user confidence in data integrity and transparency.
• The system provides a single source of truth, significantly reducing overcomplexity and enhancing auditability in real-time operations.
• Despite benefits, the study identifies scalability and regulatory compliance as key challenges requiring further research.