journal article·2024-07-23Open access

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

Applied Sciences· Volume 14· Issue 15

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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Blockchain Technology Applications and Security · Face recognition and analysis · IoT and Edge/Fog Computing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

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

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

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

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

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

Funding

Macao Polytechnic University

References (39)

Show source-provided references
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
3. The Future of Biometrics Technology: From Face Recognition to Related Applications10.1017/ATSIP.2021.8 ↗
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.10.1007/978-3-030-02671-4_16 ↗
6. Frankenfield, J. (2024, June 11). Distributed Ledger Technology (DLT): Definition and How It Works. Investopedia. Available online: https://www.investopedia.com/terms/d/distributed-ledger-technology-dlt.asp.
7. Zhang, Z. (2019, January 16–18). Technologies Raise the Effectiveness of Airport Security Control. Proceedings of the 2019 IEEE 1st International Conference on Civil Aviation Safety and Information Technology (ICCASIT), Beijing, China.10.1109/ICCASIT48058.2019.8973152 ↗
8. del Río, J.S., Sánchez, C., Conde, C., Tsitiridis, A., Gómez, J.R., Martín de Diego, I., and Cabello, E. (2015, January 13–16). Face-Based Recognition Systems in the ABC E-Gates. Proceedings of the 2015 Annual IEEE Systems Conference (SysCon), Vancouver, BC, Canada.
9. Ready for Take-Off: How Biometrics and Blockchain Can Beat Aviation’s Quality Issues10.1016/S0969-4765(20)30010-2 ↗
10. Privacy and Data Protection Versus National Security in Transnational Flights: The EU–Canada PNR Agreement10.1093/idpl/ipy004 ↗
11. Wu, Z., and Wang, C. (2015, January 10–11). Security-as-a-Service in Big Data of Civil Aviation. Proceedings of the 2015 IEEE International Conference on Computer and Communications (ICCC), Chengdu, China.
12. Wu, Z., Liu, L., Yan, C., Xu, J., and Lei, J. (2017, January 21–23). The Approach of SWIM Data Sharing Based on Multi-Dimensional Data Encryption. Proceedings of the 2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split, Croatia.10.23919/SOFTCOM.2017.8115587 ↗
13. API and PNR Data in Use for Border Control Authorities10.1057/sj.2016.4 ↗
14. Tedeschi, P., and Sciancalepore, S. (2019, January 17–19). Edge and Fog Computing in Critical Infrastructures: Analysis, Security Threats, and Research Challenges. Proceedings of the 2019 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), Stockholm, Sweden.10.1109/EuroSPW.2019.00007 ↗
15. Blockchain in Air Cargo: Challenges of New World10.1051/matecconf/202134100021 ↗
16. Abeyratne, R., and Abeyratne, R. (2020). Blockchain and Aviation. Aviation in the Digital Age: Legal and Regulatory Aspects, Springer.10.1007/978-3-030-48218-3 ↗
17. The Role of Blockchain Technology in Aviation Industry10.1109/MAES.2020.3043152 ↗
18. Yadav, J.K., Verma, D.C., Jangirala, S., Srivastava, S.K., and Aman, M.N. (2022). Blockchain for Aviation Industry: Applications and Use Cases. ICT Analysis and Applications, Springer.10.1007/978-981-16-5655-2_46 ↗
19. Brown, R.G. (2024, June 11). The Corda Platform: An Introduction. Available online: https://corda-cn.readthedocs.io/zh-cn/latest/_static/corda-platform-whitepaper.pdf.
20. Androulaki, E., Barger, A., Bortnikov, V., Cachin, C., Christidis, K., De Caro, A., Enyeart, D., Ferris, C., Laventman, G., and Manevich, Y. (2018, January 23–26). Hyperledger Fabric: A Distributed Operating System for Permissioned Blockchains. Proceedings of the Thirteenth EuroSys Conference, Porto, Portugal.10.1145/3190508.3190538 ↗
21. Greenspan, G. (2024, July 06). Multichain Private Blockchain-White Paper. Available online: http://www.multichain.com/download/MultiChain-White-Paper.pdf.
22. Morgan, J.P. (2024, July 06). Quorum Whitepaper. Available online: https://github.com/jpmorganchase/quorum/blob/master/docs/QuorumWhitepaperv0.2.pdf.
23. (2024, June 11). R3 Application Networks. Available online: https://docs.r3.com/en/platform/corda/5.0/key-concepts/fundamentals/application-networks.html.
24. (2024, June 11). R3 Planning Application Networks. Available online: https://docs.r3.com/en/platform/corda/5.0/application-networks/plan.html.
25. (2024, June 11). R3 CorDapps. Available online: https://docs.r3.com/en/platform/corda/5.0/key-concepts/fundamentals/cordapps.html.
26. Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., and Rabinovich, A. (2014, January 23–28). Going Deeper with Convolutions. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, OH, USA.10.1109/CVPR.2015.7298594 ↗
27. Indyk, P., and Motwani, R. (1998, January 23–26). Approximate Nearest Neighbors: Towards Removing the Curse of Dimensionality. Proceedings of the Thirtieth Annual ACM Symposium on Theory of Computing, Dallas, TX, USA.10.1145/276698.276876 ↗
28. IATA (2024, July 05). IATA Resolution 753. Available online: https://www.asaworld.aero/media/1141/iata-resolution-753.pdf.
29. Noel, S., Navya, M., Likitha, D., Manjula, K., and Keerthi Priya, S.V. (2021, January 8–10). A Smart IoT Based Real-Time System to Minimize Mishandled Luggage at Airports. Proceedings of the 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India.10.1109/ICCMC51019.2021.9418041 ↗
30. Salman, A.H., Adiono, T., Abdurrahman, I., Aditya, Y., and Chandra, Z. (2021, January 2–3). Aircraft Passenger Baggage Handling System with RFID Technology. Proceedings of the 2021 International Symposium on Electronics and Smart Devices (ISESD), Bandung, Indonesia.10.1109/ISESD53023.2021.9501689 ↗
31. Madana, A.L., Shukla, V.K., Sharma, R., and Nanda, I. (2021, January 25–26). IoT Enabled Smart Boarding Pass for Passenger Tracking Through Bluetooth Low Energy. Proceedings of the 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India.10.1109/ICACITE51222.2021.9404602 ↗
32. Shehieb, W., Al Sayed, H., Akil, M.M., Turkman, M., Sarraj, M.A., and Mir, M. (2016, January 23–25). A Smart System to Minimize Mishandled Luggage at Airports. Proceedings of the 2016 International Conference on Progress in Informatics and Computing (PIC), Shanghai, China.10.1109/PIC.2016.7949485 ↗
33. SITA (2024, June 05). 2022 Passenger IT Insights Report. Available online: https://www.sita.aero/resources/surveys-reports/passenger-it-insights-2022/.
34. (2015). National Institute of Standards and Technology (NIST). Secure Hash Standard (SHS) (Standard No. FIPS PUB 180-4).
35. Patel, F., Levinson-Waldman, R., and Panduranga, H. (2024, June 11). A Course Correction for Homeland Security. Available online: https://search.issuelab.org/resources/40154/40154.pdf.
36. Aldhahab, A., Alobaidi, T., and Mikhael, W.B. (2016, January 6–9). Efficient Facial Recognition Using Vector Quantization of 2D DWT Features. Proceedings of the 2016 50th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA.10.1109/ACSSC.2016.7869077 ↗
37. Aldhahab, A., Alobaidi, T., and Mikhael, W.B. (2016, January 16–19). Employing Vector Quantization Algorithm in a Transform Domain for Facial Recognition. Proceedings of the 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS), Abu Dhabi, United Arab Emirates.10.1109/MWSCAS.2016.7869957 ↗
38. Schroff, F., Kalenichenko, D., and Philbin, J. (2015, January 7–12). FaceNet: A Unified Embedding for Face Recognition and Clustering. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Boston, MA, USA.10.1109/CVPR.2015.7298682 ↗
39. Sun, Y., Liang, D., Wang, X., and Tang, X. (2015). DeepID3: Face Recognition with Very Deep Neural Networks. arXiv.