When a third party wants to redeem a user's personally identifiable information (PII), the third party presents to the system a token representing the PII, which indicates a request for the PII. The system seeks consent from the user for sending the PII to the third party. If the user grants consent, then the system prepares the PII for the third party. In some embodiments, the third party can initiate a telephone call with a dispatch to receive the PII. In some embodiments, the third party can receive the PII directly from the system.

The present disclosure promotes distribution of sensor data among a plurality of business operators. A controller that an information processing system according to the present disclosure includes collects first data including a plurality of items and personal information from mobile bodies belonging to a first business operator. The controller converts the first data to second data not being usable to identify individuals. The controller provides data in a range decided based on content of a predetermined data use contract, among the second data, to a second business operator. The controller calculates a consideration for the data that is to be paid by the second business operator, based on a data use record of the second business operator.

A distributed ledger-based system, method and apparatus for administering voting contests is disclosed. Potential voters send registration requests to a distributed ledger, and each computing node of the distributed ledger, executing a smart voting contract, registers the potential voters and issues each registered voter a cryptographic voting token. Each registered voter uses the cryptographic voting token to cast an electronic ballot, the electronic ballot comprising a distributed ledger-based voting transaction request. Each voting transaction request is received by each computing node of the distributed ledger and verified, and a distributed ledger-based, verified voting transaction is created and validated along with other verified voting transactions by each of the computing nodes. When the verified voting transactions are validated, a cryptographic block is created and added to a blockchain of the distributed ledger. After a voting contest has conclude, each of the computing nodes validates a final tally of voting tokens received by each candidate in the voting contest, and a final cryptographic block is published by the distributed ledger with the results. This application is related to NFT Origin Ethereum Address 0x7beaD10F8dE9fFd99A0E897840D6105BBBC1184f.

A settlement processing device, which is an example of an information processing device, includes an acquisition unit, a verification unit, and a providing unit. The acquisition unit acquires, from a user terminal used by a user who is a request source for a service, proof information that is for proving, by zero knowledge proof, that a user is an identity verified user, and that is generated by using secret information that only the identity verified user is allowed to know. A verification unit executes a verification process of proof information acquired by an acquisition unit by using encrypted information of identity verification information used in an identity verification process of the identity verified user managed in a block chain system, where the encrypted information is encrypted using secret information. The providing unit executes a process for providing a service to a user who is a request source for a service on condition that the user is proved to be an identity verified user as a result of the verification process by the verification unit.

The present disclosure provides systems and methods for content quasi-personalization or anonymized content retrieval via aggregated browsing history of a large plurality of devices, such as millions or billions of devices. A sparse matrix may be constructed from the aggregated browsing history, and dimensionally reduced, reducing entropy and providing anonymity for individual devices. Relevant content may be selected via quasi-personalized clusters representing similar browsing histories, without exposing individual device details to content providers.

[Object] It is desirable to provide a technology that makes it difficult to identify to which user leaked anonymous information relates even in a case in which the anonymous information has leaked. [Solution] Provided is a server device including: a risk value acquisition unit that acquires a risk value in a case in which a user's anonymous information leaks; and a processing execution unit that associates an anonym ID for identifying the anonymous information with the anonymous information. In a case in which the risk value exceeds a predetermined threshold value, the processing execution unit executes at least any of processing of switching the anonym ID associated with the anonymous information or processing of differentiating anonym IDs associated with a plurality of pieces of division information obtained through division of the anonymous information.

Systems and methods are provided for managing data across a network based on multiple keys assigned to different participants in association with the data. One exemplary method includes identifying, by an originating party, a relying party, identifying data relevant to at least one interaction between the originating party and the relying party, and encrypting the data based on a secret. The method also includes generating a key set based on the secret, where the key set has at least three keys and is structured such that the secret is derivable from at least two of the at least three keys, and disseminating a first key of the key set and the encrypted data to a control party and disseminating a second key of the key set to the relying party.

Aspects of the present disclosure describe systems and methods that dynamically de-identifies confidential and/or sensitive patient health data maintained at computing devices deployed within a communications network. A key value is securely transmitted from a remote device included in a first security domain to a first server included in a second security domain. Based on the key value, the first server accesses a dataset containing health records identifying individual patients and de-identifies all or part of the dataset. A second server included in a security domain different from the remote device and the first server matches the de-identified data to previously de-identified data and generates a unique alias identifier for the matched de-identified data.

A method enables a user to self-identify to a user support system when a user electronic device is connected to the user support system by an over-the-top (OTT) communication session where an OTT messaging service provides an anonymous identifier to the user support system to enable communication with the user. The method includes receiving a secured real identifier and a secured token from the user electronic device in response to a user selection to self-identify to the user support system, decrypting the secured real identifier to determine a real identifier that identifies user account information at an external system, determining the anonymous identifier for the user using the secured token in a manner that associates the real identifier with the OTT communication session, and sending the real identifier to the user support system to enable access to the user account information by the user support system.

A data analysis server holds base-point-added information, wherein the base-point-added information includes a value of an explanatory variable encrypted by first high-performance encryption, a value of a response variable encrypted by a predetermined encryption scheme, and a base point based on frequencies of the value of the explanatory variable in information for learning are associated with one another, wherein the data analysis server: executes decision tree generation processing for generating a decision tree having a leaf node associated with the value of the response variable encrypted by the predetermined encryption scheme, which is included in the base-point-added information; and execute branching rule determine processing in decision tree generation processing without decrypting the value of the explanatory variable and the base point corresponding.