# Secure and Privacy-Protected Bioinformation Implementation in Air Passenger Transport Based on DLT
## 4 Scenario I: Automatic Baggage Mistake Prevention
### Background  
Baggage status data are currently shared between airports in real-time through the Baggage Messaging Service (BMS), which is an automated communication platform that supports real-time messaging and tracking of baggage. It works in conjunction with baggage tracking databases and RFID tags used in some airports for end-to-end tracking. Each baggage is identified by a unique Bag Tag Number (BTN) that is attached to it. IATA Resolution 753 defines the mandatory tracking points supporting the process of successfully delivering bags [28]. According to its implementation guide, it covers the range of how to improve the baggage handling by staff during the whole delivery process. Several tracking points are defined to avoid baggage mishandling at acceptance, load, transfer, and arrival. The arrival tracking point here is to inform passengers that the bag is delivered to the reclaim carousel. However, the service has not yet been extended to automatically help passengers ensure that they take similar-looking luggage from the carousel before exiting.  
Many research papers aim to improve baggage processing to further improve the passenger experience. The research of [PERSON] et al. in 2021 utilizes image processing and QR codes to allow passengers to collect their own luggage without misplacement [29]. Theyalso have proposed facial recognition to authenticate luggage. However, the research did not propose a specific and secure framework for transferring facial information between parties. This could result in information leakage to the detriment of passenger privacy. The research of [PERSON] et al. in 2021 uses a combination of the mobile application and RFID to keep track and provide a way for passengers to check their own baggage status [30]. However, the checking is based on passengers' active checks. If passengers do not open their apps when they leave, they may take the wrong suitcases that have similar appearances to their own luggage. In 2021, [PERSON] et al. proposed to substitute boarding passes with BLE tags, which are given to passengers after check-in and should return at the boarding gate [31]. However, this way increases the cost and most of the BLE tag boarding passes can also be achieved by web applications that can run on passengers' mobile phones. In 2016, [PERSON] et al. linked user details to the RFID tag that is tagged on baggage, and they used SMS to inform whether the baggage was on a belt or not at the arrival airport [32]. However, they omit the details and complexities of how to handle information sharing. For example, the scanners of the arrival airport, do not define clearly how the airport device and server handle the RFID information checking and comparisons in the airlines' local server or cloud server.  
There is insufficient research on automated systems to prevent passengers from taking luggage by mistake. The most avoidance measure at the destination airport is to check the baggage tags that stick on the suitcase manually. According to SITA 2022 Passenger IT Insights report, manual checks are time-consuming and prone to error, and RFID tags can help with the match process [33]. Therefore, in this section, the research proposes to use the bioinformatic identification technology, RFID and DLT to provide a method that detects the baggage mismatch at exits. Since facial recognition is more convenient to obtain and examine than other biometric information such as fingerprints and iris, the research uses facial information as the biometric information in the application.