Secure and Privacy-Protected Bioinformation Implementation in Air Passenger Transport Based on DLT

Yuhan Chen, Mingmei Lyu, Ho Yin Kan, Mei Pou Chan, Wei Ke, Giovanni Pau

Research output: Contribution to journalArticlepeer-review

Abstract

Aviation information systems are a key component in ensuring efficient and smooth air transport operations. In this regard, the transfer of passenger information between parties is of paramount importance. With the continuous improvement of biometrics technology, this kind of individual identification that can provide accurate and unforgeable identification is widely used in various fields. This research presents the significance and effective application scenarios of facial recognition in biometrics in air transport operations. Due to the characteristics of aviation information systems, Distributed Ledger Technology (DLT) is used in this study for secure and private transmission of facial recognition information. Distributed systems can give a transparent and secure platform to multiple parties to access sensitive passenger data. This study uses the Corda framework as the DLT that supports CorDapp development. Based on the above techniques, this study proposes two feasible application scenarios. One is a baggage match detection system to prevent misplaced baggage, and the other is an iAPIS system that transmits passenger information in real-time communication between airlines and border control agencies. This article details how to apply the research in these two scenarios, as well as the benefits and implications of the applications. Finally, this article presents an outlook for future development and feasible directions for improvement.

Original languageEnglish
Article number6426
JournalApplied Sciences (Switzerland)
Volume14
Issue number15
DOIs
Publication statusPublished - Aug 2024

Keywords

  • Distributed Ledger Technology (DLT)
  • air transport operations
  • aviation information systems
  • facial recognition

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