Abstract: An example operation may include one or more of connecting, by an identity server, to a blockchain configured to store an identity trait of a user, retrieving, by an identity server, the identity trait from the a blockchain, establishing, by the identity server, a trust group homomorphism digital signature algorithm (DSA) for the user associated with the identity trait based on a public key PK1, creating, by the identity server, a zero-knowledge proof function with a public key PK2 based on a DSA member of the trust group homomorphism for witness data, providing, by the identity server, the witness data to a challenger for the zero-knowledge proof function, and receiving, by the identity server, a validation of the user as a proved user based on execution of the zero-knowledge proof function based on the witness data.

Abstract: An example operation may include one or more of connecting to a blockchain configured to store an identity trait of a user, retrieving the identity trait from the blockchain, establishing a trust group homomorphism digital signature algorithm (DSA) for the user based on a private key, creating a zero knowledge succinct non-interactive argument of knowledge (zkSNARK) proof constructed based on a DSA of a trait in the trust group homomorphism DSA as witness data, and obtaining further trust information related to the user from the witness data.

Abstract: An example operation may include one or more of connecting, by an identity server, to a blockchain configured to store an identity trait of a user, retrieving, by an identity server, the identity trait from the a blockchain, establishing, by the identity server, a trust group homomorphism digital signature algorithm (DSA) for the user associated with the identity trait based on a public key PK1, creating, by the identity server, a zero-knowledge proof function with a public key PK2 based on a DSA member of the trust group homomorphism for witness data, providing, by the identity server, the witness data to a challenger for the zero-knowledge proof function, and receiving, by the identity server, a validation of the user as a proved user based on execution of the zero-knowledge proof function based on the witness data.

Abstract: An example operation may include one or more of connecting to a blockchain configured to store an identity trait of a user, retrieving the identity trait from the blockchain, establishing a trust group homomorphism digital signature algorithm (DSA) for the user based on a private key, creating a zero knowledge succinct non-interactive argument of knowledge (zkSNARK) proof constructed based on a DSA of a trait in the trust group homomorphism DSA as witness data, and obtaining further trust information related to the user from the witness data.

Abstract: A method, system and computer program product for facilitating the generating of digital identity documents. A system receives a selection and initialization of properties (e.g., identity attributes, document type, alternate views, an acquisition uniform resource locator (URL)) to be used in a digital identity document (e.g., driver's license). The system then builds a template using the selected properties. The system may then present a list of built templates to a user/verifier to be used in generating a corresponding digital identity document. Upon receiving the selected template, the system provides the acquisition URL associated with the selected template to the user/verifier to be used by the user/verifier to request the corresponding digital identity document from the issuer. After receiving the digital identity document constructed by the issuer from the issuer, the system delivers the received digital identity document to the user/verifier.

Abstract: A method, system and computer program product for facilitating the generating of digital identity documents. A system receives a selection and initialization of properties (e.g., identity attributes, document type, alternate views, an acquisition uniform resource locator (URL)) to be used in a digital identity document (e.g., driver's license). The system then builds a template using the selected properties. The system may then present a list of built templates to a user/verifier to be used in generating a corresponding digital identity document. Upon receiving the selected template, the system provides the acquisition URL associated with the selected template to the user/verifier to be used by the user/verifier to request the corresponding digital identity document from the issuer. After receiving the digital identity document constructed by the issuer from the issuer, the system delivers the received digital identity document to the user/verifier.