Abstract: Storing and executing an application in a personal storage with a user-granted permission in a decentralized network that implements a distributed edger. First, receiving a request from an entity for storing an application in a data storage that is associated with a DID owner. The application is configured to use data stored in the data storage as one or more inputs to generate one or more results. Next, one or more characteristics of the application associated with the entity is identified. Based on identified one or more characteristics, a write permission is to be granted to the entity, and the application is stored in the data storage. Thereafter, the application stored in the data storage is executed using data stored in the data storage.

Abstract: Storing and executing an application in a personal storage with a user-granted permission in a decentralized network that implements a distributed edger. First, receiving a request from an entity for storing an application in a data storage that is associated with a DID owner. The application is configured to use data stored in the data storage as one or more inputs to generate one or more results. Next, one or more characteristics of the application associated with the entity is identified. Based on identified one or more characteristics, a write permission is to be granted to the entity, and the application is stored in the data storage. Thereafter, the application stored in the data storage is executed using data stored in the data storage.

Abstract: An attestation component to make attestations about itself to a relying party. The attestation component offers identity attestations of a particular decentralized identity, and manages use of a private key of that decentralized identity. However, the attestation component also has its own private key that is different than the private key of the decentralized identity for which it offers attestations. As an example, the attestation component might, using its own private key, provide an integrity attestation from which an integrity with which the attestation component has managed the private key of the decentralized identity may be determined. Based on this integrity attestation, a relying party can determine whether to trust other attestations provided by the attestation component on behalf of the decentralized identity.

Abstract: Encrypting and sharing one or more data objects stored or to be stored in a personal storage that is associated with a DID. First an encryption/decryption key is generated using a passphrase and an identifier of the personal storage that stores or is to store a data object in the personal storage. The data object stored or to be stored in the personal storage is then encrypted by the generated encryption/decryption key. The encrypted data object is then stored in the personal storage. The encrypted data object may then be accessed by a DID management module that is configured to manage the DID or be shared to another entity that is not associated with the DID.

Abstract: Creating and managing linked decentralized identifiers for an entity. A parent decentralized identifier of an entity has an associated parent private key. A determination is made that a child decentralized identifier is to be created for the parent decentralized identifier. In response to the determination, the parent private key is used to generate a child private key, and a child decentralized identifier is created by at least assigning the generated child private key as the private key for the child decentralized identifier. Each of the decentralized identifiers may be associated with a permission to another entity. The permission associated with the child decentralized identifier may not be broader than the permission granted to the parent decentralized identifier.

Abstract: Embodiments disclosed herein are related to the deauthorization of a private key associated with a decentralized identifier. While a user of a computing system is authenticated as a decentralized identifier, the system detects user input, and determines based on that user input that the private key associated with the decentralized identity is to be revoked. In response to this determination, the private key is deauthorized so that the private key cannot be used to perform actions for the decentralized identity at least until the private key is restored.

Abstract: Generation of a cryptographic key using one of multiple possible entropy generation components that may provide input entropy. A key generation component provides an interface that exposes one or more characteristics for input entropy to be used to generate a cryptographic key. For applications that are more sensitive to improper key discovery, higher degrees of input entropy may be used to guard against key discovery. During key generation, the key generation component connects with an appropriate entropy generation component via the interface. For instance, the entropy generation component may be selected or adjusted so that it does indeed provide the input entropy meeting the characteristics described by the interface. The key generation component receives the input entropy via the interface, and then uses the input entropy to generate the cryptographic key.

Abstract: Embodiments disclosed herein are related to computing systems and methods for providing a self-help mechanism to DID owners. The computing system and methods are implemented in the decentralized network that implements a distributed ledger that backs one or more decentralized identities (DID) for one or more users of the computing system. One or more DID-related data such as a DID-related intent or attestation is received from a third party entity. The received DID-related data is analyzed to determine a meaning of the DID-related data and/or the implications of providing information that is requested in the DID-related data to the third party entity or to another entity. A report based on the analysis is provided to the DID owner. The report includes information about the meaning of the DID-related data and/or the implications of providing the data to the third party entity or to another entity.

Abstract: Embodiments disclosed herein are related to computing systems, and methods for determining patterns in received data that are indicative of common characteristics of the one or more users of a computing system. Data from first users of the computing system is received. The received data defines information about the first users. The type of the data that is received is determined by the first users. The received data is analyzed to determine one or more patterns in the received data. The one or more patterns are indicative of one or more common characteristics shared by the first users. Information related to the determined one or more patterns is provided to second users. The information includes a DID for each of the f first users that may be used by the second users to communicate with the first users.

Abstract: Embodiments disclosed herein are related to computing systems and methods for broadcasting an intent of a first user to a second user of a decentralized network. The computing system and methods are implemented in the decentralized network that implements a distributed ledger that backs one or more decentralized identities (DID) for one or more users of the computing system. Intent from first users of the computing system is received. The intent data defines potential interactions between the first users and second users of the computing system. Broadcast messages are generated. The broadcast messages include a DID for each of the first users and information specifying the potential interactions. The generated broadcast messages are provided to the second users.

Abstract: Selecting a persona for a Decentralized Identifier (DID) and associated DID document based on a trust score. A request for data or services associated with an owner of various decentralized identifiers (DID) is received. Each of the plurality of DIDs may have an associated DID document. The associated DID document for each of the DIDs defines a persona based on an amount of identifying information included in the DID document. Based on the received request, a trust score is assigned to an entity that generated the received request. The trust score is at least partially based on the verifiability of an identity of the entity that generated the received request. Based on the trust score, the persona and the associated DID and DID document that should be used by the owner for interacting with the entity that generated the request is selected.

Abstract: Using an association data structure corresponding to a derived decentralized identifier of a subject entity to share a verified claim about the subject entity to one or more relying entities. A decentralized identifier of a subject entity is derived from a source decentralized identity of the subject entity. Next, an association data structure is created using the derived decentralized identifier. The association data structure is structured to be interpretable by a relying entity as demonstrating that a verified claim is about the derived decentralized identity. The relying entity is then caused to be provided the verified claim about the subject entity. The verified claim includes the association data structure that was created using the derived decentralized identifier.

Abstract: Generation of a cryptographic key using one of multiple possible entropy generation components that may provide input entropy. A key generation component provides an interface that exposes one or more characteristics for input entropy to be used to generate a cryptographic key. For applications that are more sensitive to improper key discovery, higher degrees of input entropy may be used to guard against key discovery. During key generation, the key generation component connects with an appropriate entropy generation component via the interface. For instance, the entropy generation component may be selected or adjusted so that it does indeed provide the input entropy meeting the characteristics described by the interface. The key generation component receives the input entropy via the interface, and then uses the input entropy to generate the cryptographic key.

Abstract: Encrypting and sharing one or more data objects stored or to be stored in a personal storage that is associated with a DID. First an encryption/decryption key is generated using a passphrase and an identifier of the personal storage that stores or is to store a data object in the personal storage. The data object stored or to be stored in the personal storage is then encrypted by the generated encryption/decryption key. The encrypted data object is then stored in the personal storage. The encrypted data object may then be accessed by a DID management module that is configured to manage the DID or be shared to another entity that is not associated with the DID.

Abstract: Channeling data with at least partially synchronized decentralized identity stores The computing system monitors latency in interfacing with each of at least some of the multiple of decentralized identity stores. In response to the computing system determining that data is to be channeled between (e.g., written to or read from) one of the decentralized identity stores and the computing system, the computing system selects one of the decentralized identity stores based on the monitored latency of each of at least some of the multiple decentralized identity stores. Then, the data is channeled with the selected decentralized identity store. For instance, that data might be read from or written to the selected decentralized identity store.

Abstract: The resolving of a decentralized identifier to a corresponding data structure using multiple resolvers. This allows for the use of a consensus of resolvers to improve trust in the resolution process. In order to resolve, a decentralized identifier is sent to multiple resolvers. In response, each of at least some of those resolvers will return a data structure of a particular type (e.g., a decentralized identifier document) that is associated with the decentralized identifier. Then, it is determined whether the data structure for at least some number of resolvers matches each other. That is, it is determined whether at least some predetermined threshold of resolvers is returning the same data structure (e.g., the same decentralized identifier document). If so, then it is determined that the matching data structure is indeed associated with the decentralized identifier. Otherwise, the resolution process has failed.

Abstract: Embodiments disclosed herein are related to computing systems and methods for providing a self-help mechanism to DID owners. The computing system and methods are implemented in the decentralized network that implements a distributed ledger that backs one or more decentralized identities (DID) for one or more users of the computing system. One or more DID-related data such as a DID-related intent or attestation is received from a third party entity. The received DID-related data is analyzed to determine a meaning of the DID-related data and/or the implications of providing information that is requested in the DID-related data to the third party entity or to another entity. A report based on the analysis is provided to the DID owner. The report includes information about the meaning of the DID-related data and/or the implications of providing the data to the third party entity or to another entity.

Abstract: Executing an application in a container within a scope of user-granted permission in a decentralized network that implements a distributed edger. Receiving a request from an entity for using data stored in a data storage that is associated with a DID as one or more inputs of an application associated with the entity to generate one or more results. One or more characteristics of the application is identified. Based on the identified characteristics, a scope of permission to use the requested data is determined. Next, the scope of permission is granted to a container where the application is stored or is to be stored. The application is then executed in the container using the data within the granted scope of permission as input to generate one or more results.

Abstract: Storing and executing an application in a personal storage with a user-granted permission in a decentralized network that implements a distributed edger. First, receiving a request from an entity for storing an application in a data storage that is associated with a DID owner. The application is configured to use data stored in the data storage as one or more inputs to generate one or more results. Next, one or more characteristics of the application associated with the entity is identified. Based on identified one or more characteristics, a write permission is to be granted to the entity, and the application is stored in the data storage. Thereafter, the application stored in the data storage is executed using data stored in the data storage.

Abstract: Embodiments disclosed herein are related to computing systems and methods for localizing how a user will receive and view received DID-related data. The computing system and methods are implemented in the decentralized network that implements a distributed ledger that backs one or more decentralized identities (DID) for one or more users of the computing system. Various sets of rule are accessed. The sets of rules specify how a DID owner will receive and view DID-related data received from a third party entity. The sets of rules are applied to the DID-related data received from the third party entity. The received DID-related data is modified such that the received DID-related data conforms to the one or more sets of rules. The modified DID-related data is provided to the DID owner so that the DID owner is able to view the modified DID-related data according to the applied sets of rules.