A system and method are disclosed for the collection and aggregation of data from contributing members of a community, such as health-related, personal, genomic, medical, and other data of interest for individuals and populations. Contributors become members of a community upon creation of an account and providing of data or files. The data is received and processed, such as to analyze, structure, perform quality control, and curate the data. Value or shares in one or more community databases are computed and attributed to each contributing member. The data is controlled to avoid identification or personalization. Steps are taken to determine incompleteness and incorrectness of the data, and the data may be improved or completed automatically, based upon interaction with members, additional contributions of data, and so forth.

Systems and methods of the present disclosure leverage distributed ledger technology (DLT) to provide decentralized control of cooperative tasks performed by a plurality of robots. Characteristics of the plurality of robots may be stored in a distribute ledger, which may be provided by a blockchain or a distributed database system. When a service request is received, a set of tasks may be identified for providing the requested service and the robot characteristics recorded to the distributed ledger may be used to identify a list of candidate robots possessing characteristics corresponding to the set of tasks may be identified. A smart contract may be utilized to select one or more candidate robots for performing the task and to verify the selected robot(s) successfully completed the task. State information associated with operation of the selected robot(s) may be monitored to verify task completion.

Systems and methods to timestamp and authenticate digital documents using a secure ledger are described. Some implementations can include computer-implemented method to timestamp and authenticate electronic documents. The method can include receiving, by a timestamp and authentication server and from a user device, a unique hash value that is generated at the user device based on a source document and a device identifier of the user device, and verifying, by the timestamp and authentication server, the device identifier. The method can also include, upon verifying the device identifier, inserting, by the timestamp and authentication server, the hash value and the device identifier into a secure ledger, and upon successful insertion into the secure ledger, transmitting, from the timestamp and authentication server to the user device, a success status message including a location in the secure ledger where the hash value was inserted.

Systems and methods of providing immutable records, and immutable ordering of records, in a computing system are disclosed. The computing system can be a member of a blockchain network of a plurality of blockchains. Each block can include a cryptographic digest (or hash) conforming to a minimum degree of difficulty, a nonce by which the cryptographic digest was generated in conformation with the degree of difficulty, and a list of cryptographic digests of most recent blocks of participating neighbor blockchains. Blocks may be passed between blockchains of the plurality of blockchains, which enables each member of the blockchain network to verify an immutable record of data transactions free of the mutual trust requirement of a typical blockchain environment. In conjunction with the generation of each block, an event record may be entered into an event log of the computing system wherein the block was generated. The event record, which may contain actionable instructions, requests, etc., may be transmitted to computing systems of participating neighbor blockchains, where actionable items may be acted upon. Further, the event logs of each computing system may be exchanged, compared, and adjusted to reflect the earliest appearance of each block of each participating neighbor blockchain.

A method of generating a deniable commitment of personal data of a user with an unlinkable proof of the commitment of the personal data for securing user privacy in a digital identity system includes receiving the personal data of the user and receiving the commitment of the personal data according to a commitment scheme. An interactive zero-knowledge proof is engaged in with the user so as to verify that the commitment of the personal data opens to the personal data of the user.

Auditing of mortgage documents is faster and simpler. An electronic mortgage application often contains or references a collection of many separate electronic mortgage documents. Electronic data representing an original version of an electronic mortgage document and its current version may be hashed to generate digital signatures. Any auditor may then quickly compare the digital signatures. If the digital signatures match, then the audit reveals that the electronic mortgage document has not changed since its creation. However, if the digital signatures do not match, then the electronic mortgage document has changed since its creation. The auditor may thus flag the electronic mortgage document for additional auditing processes.

A personal blockchain is generated as a cloud-based software service in a blockchain environment. The personal blockchain immutably archives usage of any device, perhaps as requested by a user. However, some of the usage may be authorized for public disclosure, while other usage may be designated as private and restricted from public disclosure. The public disclosure may permit public ledgering by still other blockchains, thus providing two-way public/private ledgering for improved record keeping. Private usage, though, may only be documented by the personal blockchain.

A first network device for use in a blockchain network is described. The first network device comprises means for, while carrying out a first iteration of a consensus protocol involving a second node device (103), in response to a trigger event (3040), obtaining a time interval function of a time interval start trigger event (3040) and of a time interval end trigger event (3080), each event being linked to a message of the consensus protocol and wherein at least the end trigger event (3080) comprises receiving a message from the second node device; means for transmitting (3083) first data (Delay_102) representative of said time interval to said second node device; means for, during a subsequent iteration of said consensus protocol involving said second node device, receiving a message (3140) from said second node device, said message containing second data (DelayTX_102) representative of said time interval from said second node device; means for authenticating said second node device as a function of said second data. A second network device, methods at the first and second network devices and a computer readable medium with code for carrying out the methods are also described.

A computer-implemented method of auditing drug supply chain data gathered from a distributed ledger is disclosed. The method includes receiving a population of drug product records from the distributed ledger. The method includes receiving a first set of drug product criteria. The method includes determining a weighted probability for one or more drug product records of the population of drug product records. The method includes generating a randomized first subset of drug product records from the population of drug product records based on the weighted probability of the one or more drug product records. Other methods, systems, and the like for unbiased drug selection for audit are also disclosed.

A verification platform may include a data connection to receive a stream of industrial asset data, including a subset of the industrial asset data, from industrial asset sensors. The verification platform may store the subset of industrial asset data into a data store, the subset of industrial asset data being marked as invalid, and record a hash value associated with a compressed representation of the subset of industrial asset data combined with metadata in a secure, distributed ledger (e.g., associated with blockchain technology). The verification platform may then receive a transaction identifier from the secure, distributed ledger and mark the subset of industrial asset data in the data store as being valid after using the transaction identifier to verify that the recorded hash value matches a hash value of an independently created version of the compressed representation of the subset of industrial asset data combined with metadata.