A method may include splitting an original token into a first sub-token and a second sub-token, generating a first hash value of the first sub-token and a first randomness value, and generating a second hash value of the second sub-token and a second randomness value. The method may also include evaluating an NIZKP regarding the split, and sampling first and second signature keys and verification keys associated with the first and second sub-tokens, respectively. The method may additionally include generating first and second signed values of concatenations of the first and second hash values and the first and second verification keys, respectively, and signed using an initial signature key of a current owner of the original token. The method may additionally include sending the NIZKP, the first and second hash values, the first and second signed values, and the first and second verification keys to the blockchain.

The instant disclosure illustrates how the privacy and security of activities occurring on distributed ledger-based networks (DLNs) can be enhanced with the use of zero-knowledge proofs (ZKPs) that can be used to verify the validity of at least some aspects of the activities without private information related to the activities necessarily being revealed publicly. Methods and systems that are directed at facilitating the tracking and recovery of assets stolen on ZKP-enabled DLNs while preserving the confidentiality of the tokens are presented herein.

According to aspects of the present disclosure, there is provided methods and devices for verifying integrity of a remote device, including a method comprising generating a first nonce value, transmitting the first nonce value, receiving a message from the remote device, the message comprising measurements of a configuration of the remote device and a cryptographic signature based on a private key of a public-private key pair of the remote device and a second nonce value, determining that the second nonce value was generated based on the first nonce value, and verifying the cryptographic signature based on the second nonce value and a public key of the public-private key pair of the remote device.

A method performed by a user device is disclosed. The method comprising generating a secret and measuring a biometric template of a user operating the user device. The method then generates a plurality of secret shares of the secret and of the biometric template. The user device then transmits the secret shares of the secret and of the biometric template to a plurality of recovery devices. After, the user device may then initiate a recovery of the secret and measure a biometric measurement of the user. Data of the biometric measurement may be transmitted to the plurality of recovery devices, where the recovery devices perform a partial computation. The user device use the plurality of partial computations to determine a match between the biometric template and the biometric measurement. If the two biometrics match, the user device can reconstruct the secret using shares of the secret from the recovery devices.

A method may include obtaining, by a first entity, a verification key from a second entity to which an asset is to be transferred. The method may also include proving to an administrator of a blockchain that the first entity is a current owner of the asset, the blockchain hosting a token associated with the asset. The method may additionally include providing an updated randomness value and the token to the second entity. The method may also include sending an updated hash value of the token and the updated randomness, a signed indication of the transfer of the asset from the first entity to the second entity, and the verification key of the second entity to an administrator of the blockchain.

Secure management of keys and identities of an object manufactured by a manufacturer having a manufacturer key pair, and a client having a client key pair, the management being carried out using a decentralized blockchain database. The method includes generation of a manufacturing key pair; and publication and recording, in the blockchain, of the decentralized object identifier used to obtain the public key of the object. When a client purchases the object from the manufacturer, the method includes providing, by the object manufacturer, the object identifier, and the public manufacturing key to the client; and updating the blockchain. When the object is switched on for the first time, the object enrolls itself by generation of a utilization key pair; auto-enrollment using the manufacturing key pair; and replacement, in the blockchain, of the public manufacturing key associated with the object identifier with the public utilization key associated with the object identifier.

Disclosed herein are methods, systems, and apparatus for processing blockchain-based guarantee information. One of the methods includes receiving a first cyphertext of a first digital document specifying a guarantee from a first computing device associated with at least a first guarantor and one or more zero-knowledge proofs (ZKPs) related to one or more values associated with the guarantee, and the first digital document specifies one or more predetermined conditions of executing the guarantee; verifying that the one or more ZKPs are correct; storing the first cyphertext to a blockchain based on performing a consensus algorithm; receiving a first message from a second computing device associated with a beneficiary or a representative of the beneficiary.

Devices can be configured to implement distributed ledgers capable of immutably recording ledger entries that have validated version identifiers. The devices can include network interfaces, memory and processors. Processors can be configured to obtain ledger entries including version identifiers and version authenticator values, determine software versions that correspond to version identifiers, determine that version identifiers are valid based on version authenticator values, obtain challenges using cryptographic systems, wherein challenges are based on ledger entries, and/or broadcast blocks that incorporate ledger entries to securely add blocks to distributed ledgers. Blocks can be capable of being validated by using cryptographic systems to obtain proofs based on challenges.

The present invention relates to a graphic-blockchain-orientated sharding storage apparatus, at least comprising a first sharding module and a second sharding module, wherein the first sharding module shards nodes having different resource capacity levels based on ledger data organized using a DAG structure, and the second sharding module assigns transactions to the shards matching with execution difficulty levels of the transactions, so that each said transaction is processed and stored in the shard corresponding thereto. The present invention incorporates the sharding technology into a graphic blockchain to provide a graphic-blockchain-orientated sharding storage method, so as to reduce pressure in terms of data storage and transaction processing on nodes of the graphic blockchain system. In addition, nodes, transactions, and data are dynamically divided according to resource heterogeneity among nodes, so as to further enhance performance of the graphic blockchain system while achieving efficient use of resources.

A system for an artificial intelligence synchronized distributed ledger. The system includes a computing device containing a receiving module, the receiving module designed and configured to receive an input from a remote device, parse the input to identify protected and non-protected data contained within the input, transform the protected data into a digitally signed assertion and convert the non-protected into an encrypted datastore. The computing device containing a processing module, the processing module designed and configured to receive the digitally signed assertion from the receiving module, insert the digitally signed assertion into an immutable sequential data structure, receive the encrypted datastore, retrieve at least an input, generate a record utilizing the at least a retrieved input, and perform a first machine-learning process utilizing the at least a retrieved input.