The present invention relates to methods for secure computation and/or communication. Entangled photons (118) are generated such that each participating party receives a series of optical pulses. Each party has private information (110, 112) which are never transmitted through public or private communication channels. Instead, each party converts their respective private information (110, 112) into measurement bases via an encryption process (114, 116) which are then applied to the entangled photons (118). After the measurement process, e.g., quantum frequency conversion (122, 124), reference indices are announced (124, 126) so that computation can be performed (128) without revealing the private information directly or indirectly.

Disclosed herein is a social media platform profile identification and social discovery feature. Disclosed social media networks enable introduction of users that may not otherwise know one another based on commonality between those users. Social media profiles are identified by digital objects instead of or in addition to more traditional indexing methods such as real names or screen names. Social discovery on a social network is performed via matching to similar behavior profiles in activity monitored by a block explorer. Machine learning models categorize behavior patterns observed by the block explorer into a machine recognized glossary. Social networks further recommend actions by users based on the monitored online behaviors of social connections.

Cryptographic methods and systems for key exchange, digital signature and zero-knowledge proof. In the digital signature scenario, there is provided a method of signing a digital document, comprising: obtaining a private cryptographic key associated with the signer; obtaining a digital asset from the digital document; selecting a base data element; computing a plurality of signature data elements from (i) the digital asset, (ii) the base data element and (iii) the private cryptographic key; and transmitting the digital document and the plurality of signature data elements to a recipient over a data network. Provenance of the digital document is confirmable by the recipient carrying out a predefined computation involving the digital document, the signature data elements, a plurality of noise variables and a public cryptographic key corresponding to the private cryptographic key associated with the signer. In the zero-knowledge proof scenario, the digital asset plays the role of a challenge data element.

An electronic device is provided. The electronic device includes a communication interface, a memory for storing at least one instruction and storing a plurality of pieces of transaction information and a plurality of index values corresponding to the plurality of pieces of transaction information, and at least one processor configured to control the electronic device by being connected to the memory, wherein the at least one processor is further configured to execute the at least one instruction to, when a delete request including an index value corresponding to transaction information is received, compare the index value included in the delete request with the plurality of index values stored in the memory, delete transaction information corresponding to the index value included in the delete request from the memory, based on a result of the comparison, generate verification data corresponding to the interface to transmit the generated verification data to an external server included in a blockchain network.

Disclosed herein is a social media platform profile identification and social discovery feature. Disclosed social media networks enable introduction of users that may not otherwise know one another based on commonality between those users. Social media profiles are identified by digital objects instead of or in addition to more traditional indexing methods such as real names or screen names. Social discovery on a social network is performed via matching to similar behavior profiles in activity monitored by a block explorer. Machine learning models categorize behavior patterns observed by the block explorer into a machine recognized glossary. Social networks further recommend actions by users based on the monitored online behaviors of social connections.

A system and method for homomorphic encryption in a healthcare network environment is provided and includes receiving digital data over the healthcare network at a data custodian server in a plurality of formats from various data sources, encrypting the data according to a homomorphic encryption scheme, receiving a query at the data custodian server from a data consumer device concerning a portion of the encrypted data, initiating a secure homomorphic work session between the data custodian server and the data consumer device, generating a homomorphic work space associated with the homomorphic work session, compiling, by the data custodian server, a results set satisfying the query, loading the results set into the homomorphic work space, and building an application programming interface (API) compatible with the results set, the API facilitating encrypted analysis on the results set in the homomorphic work space.

A first connected message broadcast from a first vehicle and a second connected message broadcast from a second vehicle is received, each of the first and second connected messages including proof-of-work computed from connected vehicle data regarding a third vehicle. The first and second connected messages are authenticated, responsive to a comparison of the proof-of-work for the third vehicle included in the first connected message and the proof-of-work for the third vehicle included in the second connected message. The connected vehicle data in the first connected message broadcast or second connected message broadcast is utilized for autonomous vehicle operations or driver-assistance vehicle operations, responsive to the proof-of-work being a match.

A computer implemented system for controlling access to data associated with an entity includes a data storage device having a protected memory region, and one or more processors, at least one of which is operable in the protected memory region. The one or more processors are configured for: storing a secret key associated with the entity in a portion of the protected memory region associated with the entity; upon receiving entity data, storing the entity data in the portion of the protected memory region associated with the entity; and upon receiving an access grant signal, generating a smart contract, the smart contract defining the entity data to be accessed and a recipient of the entity data to be accessed.

This disclosure is related to devices, systems, and techniques for controlling access to network services based on a trust ledger. In some examples, a trust broker system enables a relying party to control network service access of client device, where the trust broker system comprises one or more computing devices configured to maintain a trust ledger including a trust account balance (TAB) associated with each user of a set of users, where the TAB associated with each user of the set of users represents a value used to determine whether the respective user is permitted to access a resource.

The present invention relates to a zero-knowledge proof-based certificate service method using a blockchain network, the method comprising: (a) a step in which, if a certificate registration request transaction including user trap information generated by using at least one user personal information corresponding to a user and a private key of the user is acquired from a user terminal, a certification support server confirms whether or not the user personal information included in the certificate registration request transaction is authentic; (b) a step in which, if it is confirmed that the user personal information corresponds to the user, the certification support server computes the user personal information and the user trap information included in the certificate registration request transaction by using a commitment scheme, thereby generating a user commitment corresponding to the user personal information; and (c) a step in which the certification support server transmits a certificate transaction including the user commitment to the blockchain networks such that the blockchain network registers the certificate transaction in a distributed ledger.