Self-sovereign Identity technology using blockchain for customers, airlines and border authorities

目前，航空公司无法共享乘客数据，只能依靠反复的一次性文件检查。平均而言，乘客填写飞行所需信息的准确率只有50%，这一事实加剧了这一挑战。这意味着航空公司不仅浪费时间和资源在机场多次检查每位乘客的文件，而且还要花费时间和金钱来纠正这些信息。政府的罚款意味着，未能认真检查这些信息会给航空公司带来进一步的成本，政府对航空公司提供更准确的乘客信息的要求也越来越高。Zamna是一家屡获殊荣的软件公司，被IBM Security命名为提供“符合GDPR的身份即服务”。我们与英国、阿联酋等国的航空公司和边境当局合作，核实准确的乘客信息。我们的区块链数据验证技术改善了机场安全和移民相关信息，同时提供了无缝的乘客体验。我们目前的软件技术已经与英国航空公司的全球IT系统集成，在英国航空公司商业上活跃，在2019冠状病毒病之前，每天的旅客护照检查量约为10万份。该项目将通过增加一个创新的身份管理模型来扩展该技术，该模型将使乘客能够控制他们的数据，同时解决GDPR和数据准确性挑战，并确保企业验证乘客数据的价值，而不会将该企业的商业或竞争优势暴露给他人。为了实现这一点，我们需要在与早期采用者和涉众进行测试之前，使用多种计算技术进行重要的技术研究，我们已经参与了这些测试。

Currently, airlines are unable to share data about passengers and rely on repeated one-off document checks. This challenge is exacerbated by the fact that, on average, passengers are only 50% accurate when filling out the information required to fly. This means that airlines not only waste time and resources checking each passenger's documents multiple times in the airport, but they also spend time and money correcting that information. Government fines mean that failing to check this information diligently creates further costs for airlines, and there are increasing demands from governments for airlines to provide more accurate passenger information.Zamna is an award-winning software company named by IBM Security as providing "GDPR compliant identity-as-a-service". We work with airlines and border authorities in the UK, UAE, etc to verify accurate passenger information. Our blockchain-powered data verification technology improves airport security and immigration-related information, while delivering a seamless passenger experience. Our current software technology is already integrated with British Airways global IT systems, commercially active in British Airways, with pre-COVID-19 volumes of ~100,000 daily passenger passport checks.This project will extend the technology by adding an innovative model of identity management which will put the passenger in control of their data, whilst solving GDPR and data accuracy challenges, and securing value for the enterprise validating passenger data - without exposing the commercial or competitive advantages of that enterprise to others. To achieve this, we need to conduct significant technical research using multiple computation techniques, before testing can take place with the early adopters and stakeholders, which we have already engaged with.