Abstract: An example operation may include one or more of receiving a request to certify a digital record, retrieving a first hashed data value of the digital record from a data block included among a first hash-linked chain of blocks on a first blockchain, retrieving a second hashed data value of the digital record from a second data block included among a second hash-linked chain of blocks on a second blockchain which is different from the first blockchain, determining whether the digital record is valid based on a cross-validation of the first hashed data value and the second hashed data value, and storing the determination of the validity of the digital record in a data block among a third hash-linked chain of blocks.

Abstract: A processor may incorporate one or more keys in a media. The one or more keys may each be associated with a specific instance and the one or more keys may be included in a blockchain. The processor may identify that a first specific instance has been encountered. The processor may provide a first key associated with the first specific instance. The processor may determine to allow access to content of the media.

Abstract: An example operation may include one or more of connecting, by a pharmacy node, to a blockchain network configured to store patients' data on a blockchain ledger, receiving, by the pharmacy node, a request from a patient node for a prescription refill, the request contains a secret key of a patient, extracting, by the pharmacy node, the secret key from the request to verify a patient's identity, and executing, by the pharmacy node, a smart contract to: (a) decrypt a prescription data located on the ledger by an application of the secret key, (b) retrieve patient's allergy records from the ledger to check the allergy records against the prescription data, (c) determine a number of remaining refills from the prescription data, (d) check validity of the prescription data based on an expiration date, and commit a prescription refill transaction to the blockchain based on a successful execution of (b)-(d).

Abstract: A node in a blockchain network may agree, on an authority accept a compliance module from the authority, accept the compliance module. The node may also receive an operation, verify a compliance of the operation based on the compliance module, add the verified operation to a ledger on the blockchain network.

Abstract: A node in a blockchain network may agree, on an authority accept a compliance module from the authority, accept the compliance module. The node may also receive an operation, verify a compliance of the operation based on the compliance module, add the verified operation to a ledger on the blockchain network.

Abstract: An example operation may include one or more of storing, within a blockchain, a request comprising an identifier of content and a value of a user who created the content, detecting consumption of a reusable instance of the content by a second user, designating fractional values of the content to the first and second users based on the detected consumption of the reusable instance, and storing, within the blockchain, a second request comprising an identifier of the reusable instance of the content, identifiers of the first and second users, and the designated fractional values of the content to the first and second users.

Abstract: An example operation includes one or more of establishing, by a first blockchain trust anchor node, a trusted connection to a trust anchor node of a second blockchain, detecting, by the first blockchain trust anchor node, changes of the first blockchain, and executing a smart contract to reflect the detected changes on the second blockchain.

Abstract: A display case is provided. The display case includes a transparent display for viewing an object through the transparent display and a watermarking engine configured to display a watermark on the transparent display.

Abstract: A method, computer system, and a computer program product for blockchain enabled crowdsourcing is provided. The present invention may include receiving an asset from a content provider. The present invention may also include deploying a smart contract based on the received asset, wherein the deployed smart contract includes a plurality of compensation rules. The present invention then may include partitioning the received asset into a plurality of fragments based on the deployed smart contract. The present invention may further include releasing the partitioned plurality of fragments into a blockchain network. The present invention may also include tracking each fragment within the released plurality of fragments using the smart contract.

Abstract: An encryption scheme is provided in which subset-difference lists are generated by blacklisting subsets corresponding to compromised devices and splitting subset difference lists corresponding to the blacklisted subsets into multiple subset difference lists. In some embodiments, a subset-difference tree is generated. The subset-difference tree includes a plurality of subsets. The subset-difference tree covers a plurality of nodes. Each of the plurality of subsets has an apex node among the plurality of nodes. At least one blacklisted node of the plurality of nodes is determined. A first subset among the plurality of subsets is identified that covers the at least one blacklisted node. A plurality of substitute subsets is determined. Each of the plurality of substitute subsets overlaps the first subset and does not cover the at least one blacklisted node. The plurality of substitute subsets are substituted for the first subset.

Abstract: A node in a blockchain network may generate a key for a first ring, wherein the key unlocks a first collection of data, defining a second ring including a second node of a second organization, derive a second key for a second collection of data, wherein the first key and the second key access the second collection of data, and distributing the second key to the second node.

Abstract: An example operation may include one or more of acquiring, by a provision server, system policy data from a system policy engine, receiving, by the provision server, jurisdiction policy parameters from a jurisdiction policy engine, selecting, by the provision server, a smart contract from a smart contract repository based on the system policy data and the jurisdiction policy parameters, mapping, by the provision server, the smart contract to a node, and provisioning the node to a blockchain network.

Abstract: A processor may segment a media key block into two or more subsets. Each of the two or more subsets may be respectively associated with a particular group of receivers, and each receiver of the particular group of receivers may be in a blockchain network. The processor may receive, from a first receiver, a request for permission to process the media key block. The processor may identify which of the two or more subsets that the first receiver is associated. The processor may provide a media key block value to the first receiver.

Abstract: An example operation includes one or more of receiving a request associated with a software library, identifying metadata of the software library, determining, via chaincode, whether data of the software library has been previously stored on a blockchain, and in response to a determination that the software library has not been previously stored, storing the identified metadata of the software library and a notarization value generated by the chaincode within the blockchain.

Abstract: A processor may incorporate one or more keys in a media. The one or more keys may each be associated with a specific instance and the one or more keys may be included in a blockchain. The processor may identify that a first specific instance has been encountered. The processor may provide a first key associated with the first specific instance. The processor may determine to allow access to content of the media.

Abstract: An example operation may include one or more of receiving, via a payment network, a request to detokenize a payment token to process a payment transaction between a source and a target, detokenizing the payment token based on mapping data stored in a token vault, transmitting information about the detokenized payment token to a computing device associated with the request, generating a settlement token that comprises identifiers of the source and the target and an identifier of the payment token, and transmitting the settlement token to a blockchain on a blockchain settlement network which is parallel to the payment network.

Abstract: An example operation may include one or more of encrypting a private key with an encryption key, generating a plurality of keys based on the encryption key and converting the plurality of keys into a plurality of key shares based on a secret input value, storing the encrypted private key on a blockchain, and distributing the plurality of key shares to a plurality of blockchain peers of the blockchain, where the distributing comprises transmitting a different key share from among the plurality of key shares to each blockchain peer among the plurality of blockchain peers.

Abstract: An example operation may include one or more of splitting a session key into a plurality of partial shares, distributing the plurality partial shares to a plurality of content providers, respectively, where each content provider receives a different partial share of the session key, encrypting a stream of media content based on the session key, and transmitting the encrypted stream of digital content to a user device which has one or more partial shares among the plurality of partial shares.

Abstract: A node in a blockchain network may agree, on an authority accept a compliance module from the authority, accept the compliance module. The node may also receive an operation, verify a compliance of the operation based on the compliance module, add the verified operation to a ledger on the blockchain network.

Abstract: Embodiments are provided for analysis of errors of a predictive model. In some embodiments, a system can include a processor that executes computer-executable components stored in memory. The computer-executable components can include an overview component that causes a client device to present first data identifying an error corresponding to a cell of a confusion matrix for a classification model, the error representing a mismatch between a first label generated by the classification model and a second label corresponding to a ground-truth observation. The computer-executable components also can include an element view component that receives second data defining a root cause of the error. The computer-executable components can further include an error annotation component that can embed the second data into a first data structure containing the first data, resulting in a first annotated data structure.