A computer-implemented method for transmitting and/or submitting digital content such as feedback for an entity to a blockchain is disclosed. This may be, for example, the Bitcoin blockchain. The method, which is implemented at a first node, includes: submitting, to the blockchain, a first transaction for committing a first quantity of tokens to transfer to a second node associated with the entity, the first transaction having a first output; generating a first content for submission to the blockchain; and submitting, to the blockchain, a second transaction that returns a second quantity of the committed first quantity of tokens to an address associated with the first node, the second transaction having the first output of the first transaction as an input, wherein the first content is used to unlock the first output of the first transaction.

A system and method for storing and recovering a computer file. The method includes calculating fingerprint data of the file, separating the file into a plurality of data sub-files each having the same size and a single data sub-file having a smaller size than the other data sub-files, and attaching file metadata to the single data sub-file or as a metadata sub-file. The method also includes padding the single data sub-file including the metadata so that it is the same size as the plurality of data sub-files or the metadata sub-file so that it is the same size as the plurality of data sub-files, adding a header to each data sub-file that includes information about the sub-file, assigning a unique filename to each data sub-file, encrypting each data sub-file, and storing each data sub-file as separate files under their unique filename.

Embodiments of the disclosure relate to verifying a watermark of an artificial intelligence (AI) model for a data processing (DP) accelerator. In one embodiment, a system receives an inference request from an application. The system extracts the watermark from an AI model having the watermark. The system verifies the extracted watermark based on a policy. The system applies the AI model having a watermark to a set of inference inputs to generate inference results. The system sends a verification proof and the inference results to the application.

Aspects of the disclosure relate to an automated monitoring of proximate devices. A computing platform may cause a reporting device to detect a target device in a local network, retrieve network data associated with the target device, and send, to an intermediate server, the network data. The computing platform may send, to the intermediate server, a query. The intermediate server may send the network data in response to the query. Based on the network data, the computing platform may determine an amount of time that has elapsed since network activity was previously detected for the target device, and based on a determination that the amount of time exceeds a predetermined time threshold, the computing platform may generate an alert notification indicating that the target device may need to be traced. Subsequently, the alert notification may be sent to the reporting device.

A telecommunications network includes a serving network and a home network. In some examples the serving network receives, from the home network, identity data associated with a network terminal. The serving network determines a tied key using a tying key derivation function (TKDF) based on the identity data, then prepares an authentication request based on the tied key and sends the request to the terminal. In some examples, the home network receives the identity data from the access network and determines a tied key using a TKDF. The home network then determines a confirmation message based on the first tied key. In some examples, the serving network receives the identity data from the home network, and receives a network-slice selector associated with the network terminal. The serving network determines a tied key using a TKDF based on the identity data and the network-slice selector.

Aspects of the subject disclosure may include, for example, authenticating, by a federated blockchain controller, a user equipment located within a cell coverage area of a network that includes heterogeneous cells. The federated blockchain controller can provide encryption data to the user equipment and corresponding authentication information to one or more multi-access edge computing (MEC) devices associated with the heterogeneous cells to enable secure and efficient handovers for the user equipment amongst the heterogeneous cells, without a need for additional handover reauthentication procedures. Other embodiments are disclosed.

An example operation may include one or more of receiving, by a risk score module, a blockchain transaction proposal, obtaining transaction proposal data, obtaining external data, computing a risk score from the transaction proposal data and the external data, comparing the risk score to a risk score threshold, providing an endorsement decision, based on the comparison, and one of endorsing or rejecting the transaction proposal.

A secure access control system configured to control access to sensitive data stored on disparate systems is disclosed. A first entity is designated to control access to second entity data. An authentication token, generated using a key derivation function, is used to authenticate the first entity. The authenticated first entity is granted access to second entity data. An access control interface is generated configured to selectively grant or withdraw access to second entity data. The access control interface identifies entities associated with respective access controls. The access control interface is instantiated on a first entity device. Activation indications of access controls is received over a network. Access to second entity data is accordingly granted or withdrawn. Access control transition event rules and/or access control transition time rules are retrieved. Using monitored events and the access control transition event rules, and/or a monitored current time and the access control transition time rules, a determination is made as to transition access control of the second entity data first entity to the second entity.

Transaction-enabled systems and methods for royalty apportionment and stacking are disclosed. An example system may include a plurality of royalty generating elements (a royalty stack) each related to a corresponding one or more of a plurality of intellectual property (IP) assets (an aggregate stack of IP). The system may further include a royalty apportionment wrapper to interpret IP licensing terms and apportion royalties to a plurality of owning entities corresponding to the aggregate stack of IP in response to the IP licensing terms and a smart contract wrapper. The smart contract wrapper is configured to access a distributed ledger, interpret an IP description value and IP addition request, to add an IP asset to the aggregate stack of IP, and to adjust the royalty stack.

A packet forwarding method is disclosed. The method includes: After an edge node in a trusted domain receives an SRv6 packet whose destination address is a BSID, the edge node may verify the packet based on a BSID in the packet and a destination field in an SRH of the packet. If the packet passes the verification, the edge node forwards the packet. If the packet fails the verification, the edge node discards the packet. Not only a node outside the trusted domain is required to access the trusted domain by using the BSID, but also the packet entering the trusted domain needs to be verified with reference to the target field in the segment routing header.