The INCOGNITO project has successfully exploited the privacy features provided by anonymous credential systems. By designing their integration into the INCOGNITO platform from both technical and legal perspectives and pursuing standardization activities, we have achieved a significant milestone in privacy-preserving technology. INCOGNITO has ensured the authenticity and fidelity of all acquired identity information, utilizing the latest available Trusted Execution Environments (TEE) for more accurate and efficient identity acquisition, verification, and validation algorithms. Our identity management solution, in combination with qualified anonymity, has enabled end-users to create and manage proofs of identity attributes that can be seamlessly used across multiple applications, both on the web and in the real world. This allows end-users to prove specific identity attributes to a wide range of services, including online platforms, governmental services, banks, financial institutions, and any other entity requiring proven identity attributes. The effectiveness of such attribute-based identities in the real world has been demonstrated through our pilots.
INCOGNITO has realized the goal of enabling selective attribute disclosure by implementing a qualified anonymity framework in conjunction with a decentralized identity management solution. Notably, the project's accomplishments include:
- The successful completion of the reference architecture for the INCOGNITO platform, establishing a solid foundation for all subsequent developments.
- The design and implementation of the qualified anonymous framework, seamlessly integrated with device-centric authentication solutions, representing a leap forward in enhancing user privacy while maintaining ease of use.
- The achievement of full identity acquisition capabilities through a web and mobile application that supports the acquisition of identity attributes from multiple soft proofs and online accounts, making the process more inclusive and comprehensive.
- The completion of the first stage of design and components prototyping for the machine learning pipeline, which forms the core of the Artificial Intelligence (AI)-based assistant, promising to revolutionize user interaction with identity management systems.
These achievements mark the successful fulfillment of INCOGNITO's objectives, making an impact on how identities are managed and utilized across various sectors, enhancing privacy, security, and user convenience in the digital age.
