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

Author:

Chen Yuhan12ORCID,Lyu Mingmei1,Kan Ho Yin3ORCID,Chan Mei Pou1,Ke Wei1ORCID,Pau Giovanni1245ORCID

Affiliation:

1. Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR, China

2. Department of Computer Science and Engineering—DISI, University of Bologna, 47521 Cesena, Italy

3. Centre for Continuing Education, Macao Polytechnic University, Macao SAR, China

4. Autonomous Robotics Research Center, Technology Innovation Institute (TII), Abu Dhabi P.O. Box 9639, United Arab Emirates

5. Department of Computer Science, University of California, Los Angeles, CA 90095, USA

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.

Funder

Macao Polytechnic University

Publisher

MDPI AG

Reference39 articles.

1. IATA (2024, July 05). Concept Paper. Available online: https://eco-cdn.iqpc.com/eco/files/event_content/eo8gnLK5YRy0NAO5PD-o4asqkoiUsti6XuOYy7qUH.pdf.

2. An Introduction to Biometrics Technology: Its Place in Technology Education;Elliott;J. STEM Teach. Educ.,2004

3. The Future of Biometrics Technology: From Face Recognition to Related Applications;Imaoka;APSIPA Trans. Signal Inf. Process.,2021

4. Rauchs, M., Glidden, A., Gordon, B., Pieters, G.C., Recanatini, M., Rostand, F., Vagneur, K., and Zhang, B.Z. (2024, June 11). Distributed Ledger Technology Systems: A Conceptual Framework. Available online: https://ssrn.com/abstract=3230013.

5. El Ioini, N., and Pahl, C. (2018). A Review of Distributed Ledger Technologies. On the Move to Meaningful Internet Systems, Proceedings of the OTM 2018 Conferences: Confederated International Conferences: CoopIS, C&TC, and ODBASE 2018, Valletta, Malta, 22–26 October 2018, Springer International Publishing. Part II.

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