International Business Machines Corporation

Dushyant K Behl

Palanivel Andiappan Kodeswaran

Sayandeep Sen

Praveen Jayachandran

Venkatraman Ramakrishna

Mudit Verma

Nitin Gaur

Mathews Thomas

Petr Novotny

Chander Govindarajan

Utpal Mangla

Bishakh Chandra Ghosh

Vinayaka D Pandit

Ermyas Abebe

Dileban Karunamoorthy

Arvind Seshadri

Amandeep Singh

Sharath Prasad Krishna Prasad

Steven Layne Canepa

Jaikrishnan Hari

Sai Srinivas Gorti

Systems, methods and/or computer program products for dynamically generating interactive content at an edge node of an edge network. For each set of video frames received, altered frames cached by the edge network can be fetched (when available) and reused to deliver interactive content to users. Where cached content is not present or distinctly different content from previously delivered content is intended for delivery to user(s), edge node identifies hotspots within video frames to insert interactive content, defining a timing and location for insertion, selects content consistent with user insights and/or preferences as well as an interaction types and placements known to be preferred by the user requesting the video frames. The edge node uses video creation services to alter the incoming video frames into altered video frames, inserts selected content at corresponding hotspots within the video and applies the interaction types for presenting the content to the user.

Dynamically generated interactive video content

An example operation may include one or more of receiving blockchain specification information, generating one or more security configuration files for a blockchain based on the blockchain specification information, and launching the blockchain on a host platform, and hooking into the host platform via one or more modules which configure security settings of the blockchain based on the one or more security configuration files.

Security layer for configuring blockchain

An example operation may include one or more of receiving, via a blockchain peer of a blockchain network, a request to execute chaincode of a blockchain of the blockchain network from a client application, offloading one or more of chaincode operations of the request to hardware on a network switch via a network path between the blockchain peer and the network switch, receiving execution results of the offloaded one or more chaincode operations from the network switch via the network path, and forwarding the execution results received from the network switch to the client application.

Blockchain processing offload to network device

An example operation may include one or more of receiving a request for storage at a blockchain network, attaching, via a blockchain node, a verifiable credential created by a self-sovereign identity (SSI) network to a blockchain transaction associated with the request, where the verifiable credential includes a claim of the blockchain node and a proof of the SSI network that created the verifiable credential, transmitting the blockchain transaction and the attached verifiable credential to one or more other blockchain nodes, and storing the blockchain transaction and the attached verifiable credential via a data block on the blockchain.

Blockchain network identity management using SSI

An example operation may include one or more of receiving a data block from a blockchain node, determining a current transaction state of each of a plurality of endorser nodes based on transaction history stored within read and write sets of the data block, determining a current load of each of the plurality of endorser nodes based on performance data stored within the data block, and outputting information about the current transaction state and the current load of each of the plurality of endorser nodes via a user interface.

Optimal endorser node determination based on state

A method, system, and computer program product to protect accelerators from malicious network functions. One embodiment of the method may comprise categorizing an application runtime into a plurality of operational phases, and enforcing one of a plurality of phase-specific security restrictions at each of the plurality of operational phases. The method may further comprise analyzing the application runtime to automatically generate the plurality of phase-specific security restrictions.

Protecting accelerators from malicious network functions

An example operation may include one or more of retrieving decentralized identifiers (DIDs) of a plurality of blockchain peers included within a blockchain network, generating a blockchain declarative descriptor (BDD) which uniquely identifies the blockchain network, where the BDD comprises a machine-readable data file with a first field includes the retrieved DIDs of the blockchain network, a second field including signature data of the plurality of blockchain peers, and a third field including metadata, and transmitting the generated BDD to a blockchain network registry.

Blockchain declarative descriptor for cross-network communication

Provided is a method for selecting a service provider for an application. The method includes detecting a plurality of available service providers for an application running on a computing device. The method further includes comparing service information for each of the plurality of service providers to a set of service provider selection factors for the application. The method further includes selecting a first service provider of the plurality of service providers to provide service for the application.

Mobile network switching

Methods, systems, and computer program products for multi-controller declarative fault management and coordination for microservices are provided herein. A computer-implemented method includes processing information pertaining to at least one fault impacting multiple resources within a given system, wherein respective portions of the multiple resources are managed by multiple independent controllers; determining, by each of at least a portion of the multiple independent controllers and based at least in part on the processing of the information, one or more desired resource states and one or more remediation actions; generating, based at least in part on one or more of the determined desired resource states and the determined remediation actions, a sequential ordering of the determined remediation actions to be carried out by the at least a portion of the multiple controllers; and automatically initiating execution of the determined remediation actions in accordance with the generated sequential ordering.

Multi-controller declarative fault management and coordination for microservices

A processor may collect process information associated with a peer node of a self-auditing blockchain. The processor may generate an imprint from the process information. The processor may compare the imprint from the peer node to an imprint consensus to detect an error. The error may indicate that the peer node has been compromised.

Self auditing blockchain

An example operation may include one or more of sending, by a node A, a signed transaction Trto a node B to update a token TKNon a ledger of a blockchain A, submitting, by the node A, the Trsigned by the node B to the blockchain A, receiving from the node B a signed transaction Trto create a token TKNon a ledger of a blockchain B, sending the Trsigned by the node A to the node B to be submitted to the blockchain B, and activating, by the node A, the Trto update the TKNby submission of a secret value (x) signed by a private key of the node A to the blockchain A and by submission of a secret value (x) to the blockchain B to activate TKN.

Linking of tokens

An example operation may include one or more of receiving a request to merge a first blockchain network and a second blockchain network, the request comprising a script that specifies a network structure, synthesizing the script with configuration data of the first and second blockchain networks to generate a plurality of merge operations, and merging the first blockchain network with the second blockchain network based on the plurality of merge operations to create a merged blockchain network, wherein the merging comprises merging chaincodes and channels from the first and second blockchain networks into merged chaincodes and merged channels.

Automated merge of DLT networks

An example operation may include one or more of creating, via chaincode, a link between a non-participant system and a data field stored on a private blockchain, where the data field comprises participant data of the private blockchain, detecting a change in a value of the participant data based on a read operation from the data field stored on the private blockchain, generating a notification of the changed value of the participant data, and transmitting the notification to the non-participant system based on the link between the non-participant system and the data field.

Off-chain notification of updates from a private blockchain

An example operation may include one or more of connecting, by a notifier node, to a notifier service node configured to designate the notifier node, receiving, by the notifier node, a notification from the notifier service node to read a block from a ledger of a blockchain, applying, by the notifier node, a function on the block to determine if the notifier node is a designated notifier for at least one submitted transaction in the block, and, in response to a determination that the notifier is the designated notifier, sending, by the notifier node, a push notification to user nodes involved in a transaction associated with the block.

Trustless notification service

An example operation may include one or more of receiving system calls captured from a plurality of peer nodes of a blockchain that occurred within a predetermined period of time, determining a subset of system calls among the received system calls that correspond to a blockchain process performed during the predetermined period of time, detecting a free-riding peer node from among the plurality of peer nodes based on the identified subset of system calls with respect to system calls of the free-riding peer node within the predetermined period of time, and storing an indicator of the free-riding peer node.

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Bengaluru, India

Dushyant K Behl