Abstract: A system architecture for running a second network to support a seamless transition of a transaction request in response to a detection of a connection failure at a first network is provided. The system architecture may include a mobile application running on a mobile device for transmitting the transaction request to the first network and attempting to establish an electronic connection with the first network. The system architecture may also include a LoRa sensor embedded on the mobile device configured to, when the attempt to establish the electronic connection with the first network fails, transmit the transaction request to the second network. The second network may be a low-range wide area network (“LoRaWAN”). The system architecture may also include a LoRaWAN gateway(s) configured to receive the transaction request and transmit the transaction request to a network server operating as a bridge between the LoRaWAN gateway(s) and an entity network.

Abstract: Rules and triggers for initiating and generating transactions can be dynamically and automatically created by a computing device based on learning behaviors for a knowledgebase. This knowledgebase may be created by storing historical transaction information for devices within a particular network such as an Internet of Things (IoT) network where devices are interconnected and capable of processing data and instructions. Such a network may be associated with a user or location or organization, and may conform to a specific communication protocol.

Abstract: A computing system aggregates information from a plurality of information channels associated with a computing device and a user of the computing device. A user configures the access for the computing system to specific information channels at a user interface. Based on a knowledge base and by machine learning techniques, the computing system analyzes the aggregated information to identify information relevant to an intelligent action for execution on behalf of the user. The computing system identifies the intelligent action in the context of the user's preferences and permissions granted to the computing system. The computing system initiates execution of the intelligent action based on a confidence level derived from analysis of information contained the knowledge base and historical decisioning information. The computing system receives feedback for an executed action and incorporates the feedback in the knowledge base for future decisioning based on aggregated information.

Abstract: Embodiments of the present invention provide a system for triggering cross channel data caching on network nodes. Historical event data and live event data of a user may be monitored to determine an expected event that includes one or more expected channels. An expected period of time for the expected event may also be determined. Relevant user data may then be identified from one or more systems of record and cached or otherwise compressed. One or more nodes of a network associated with each of the one or more expected channels are then identified. The cached data is then transmitted to virtual data structures associated with each of the one or more nodes. The cached data is then generally maintained in these virtual data structures on the network for the expected period of time.

Abstract: Arrangements for smart tracking and dynamic authentication are provided. In some aspects, a user may be detected and image data of the user may be captured. The image data may be analyzed using one or more facial recognition techniques to determine whether the user is a recognized user. A connection may be established between an entity system and a user computing device and a type of connection may be transmitted to a computing platform for analysis. The computing platform may identify one or more authentication requirements based on the type of connection. The authentication requirements may be transmitted to one or more devices and executed. Authentication response data may be received and compared to prestored authentication data and, if the user is authenticated, an instruction or command causing a connection to be established between the user computing device and an entity computing device may be generated and transmitted.

Abstract: A method and apparatus for dynamically selecting a transaction processing device in a multi-device network is provided. A transaction processing device may be used to generate, approve, execute, and otherwise process transactions for devices in the multi-device network. A device selection platform may determine which of a plurality of devices is to serve as the transaction processing device based on a variety of factors such as battery life, processing power, communication connectivity, storage capacity and the like. The devices may be prioritized and ranked based on these factors. The platform may further monitor for changes in the network and dynamically update the prioritization and ranking and/or selection of the transaction processing device.

Abstract: Rules and triggers for initiating and generating transactions can be dynamically and automatically created by a computing device based on learning behaviors for a knowledgebase. Additionally, payment devices may be intelligently selected for transactions using various contextual attributes. Transaction generation and payment device selection may occur within a particular network such as an Internet of Things (IoT) network where devices are interconnected and capable of processing data and instructions. Such a network may be associated with a user or location or organization, and may conform to a specific communication protocol. Payment device selection may consider a variety of factors including communication security, encryption, location, and benefits.

Abstract: Arrangements for smart tracking and queue management are provided. In some aspects, in response to detecting a user at an entity location, image data may be captured of the user. The image data may be analyzed using one or more facial recognition techniques to determine whether the user is a recognized user. In some examples, a user or user device may be connected to an entity computing device associated with a shopping cart or other device for capturing items for purchase. The user may gather items for purchase and purchase item data may be transmitted for analysis. In some examples, a request to checkout may be received and, in response, real-time queue data may be requested. The real-time queue data may be analyzed using a machine learning model to determine an optimal queue for the user. A notification identifying the queue may be transmitted to the entity computing device.

Abstract: Systems, computer program products, and methods are described herein for enhanced authentication framework using multi-dimensional hashing. The present invention is configured to electronically receive, from a computing device of a user, a resource transfer request; retrieve, from an authentication database, a multi-dimensional hash for a first set of data files for the user and a user identification artifact; retrieve, from the computing device of the user, a second set of data files matching the user identification artifact; initiate an asynchronous hash processing engine on the second set of data files; generate, using the asynchronous hash processing engine, a multi-dimensional hash for the second set of data files; compare the multi-dimensional hash for the first set of data files with the multi-dimensional hash for the second set of data files to determine a match; and authorize the resource transfer request based on at least determining the match.

Abstract: Apparatus and methods for securing a transaction. The apparatus may include a transaction instrument. The transaction instrument may be configured to exchange transaction data to effect a transaction by engagement of a microprocessor with a transacting party. The transaction instrument may include a sensor. The sensor may be configured to sense an environmental parameter. The sensor may be in electrical communication with the microprocessor. The apparatus may run analysis using a distributed model. In the distributed model, heavy processing may be performed at the pattern registration platform, and light processing may be performed on on-board processors on the transaction instrument. The environmental parameter may be associated with one or more behaviors of the user.

Abstract: Systems, methods and apparatus are provided for a Dynamic Group Session Data Access Protocol. The system may monitor participant input in a group interactive session. The system may be trained to monitor and understand the group environment and predict intent of the participant discussion and may predict relevant data. The system may be used by a single participant or by multiple participants. The system may determine the access level of the participants. The system may determine the access level of the data. The system may compare the access level of the participants with the access level of the data. The system may dynamically mask the data if the access level of the participants does not match the access level of the data. The system may create customized views of the data for each participant based on the participant's access level and the access level of the data.

Abstract: Domain-based server-selection computer-implemented processes and machines implement an extension of RAFT consensus for leader selection based on patterns of update data proximity. Accounts involved in payment or other transactions are maintained as “sharded” data across data store instances that are split into shards according to their temporal activity. If the domain attributes for a node exceed a threshold and are greater than the other nodes, the node is designated as a leader node and the others are designated as follower nodes. This provides an additional optimization in network performance by introducing insights in normal operations within a domain in a distributed network. If the domain attributes do not exceed the threshold and/or are not greater than the other nodes, a traditional consensus algorithm is used to select leader and follower nodes.

Abstract: A system includes a memory and a processor. The processor is configured to determine that a user has ceased using a first device while the user was in an active user session with an application. The processor is further configured to determine a last user interface with which the user interacted on the first device and to determine user-supplied information from the last user interface. The processor is further configured to determine that the user is attempting to start a new user session with the application on a second device, and in response, display a message on the second device inquiring if the user wishes to continue with the last user interface. The processor is further configured to display a new user interface on the second device that corresponds to the last user interface and display the user-supplied information from the last user interface in the new user interface.

Abstract: Systems, computer program products, and methods are described herein for identification and recordation of base components of a resource within a virtual medium. The present invention is configured to electronically receive, from a user input device, a request to generate a non-fungible token (NFT) for a first portion of a resource; in response, retrieve information associated with the first portion of the resource; initiate an NFT engine on the first portion of the resource; generate, using the NFT engine, an NFT for the first portion of the resource, wherein the NFT comprises at least the information associated with the first portion of the resource; record the NFT in a distributed ledger; and transmit control signals configured to cause the user input device to display a notification indicating that the NFT has been generated and recorded in the distributed ledger.

Abstract: A system is provided for generation of substitutable configuration of secure distributed register tokens. In particular, the system may generate, on a distributed register, a secure token with a built-in source code function for triggering a substitution of the secure token with one or more substitute tokens upon the occurrence of a specific condition. The function may pull one or more values associated with the secure token (e.g., from an oracle) and generate the one or more substitute tokens based on the one or more values. Once the substitute tokens are generated, the substitute tokens may be used to replace the secure token on the distributed register.

Abstract: Embodiments of the present invention provide a system for authenticating and tracking resource distributions of secondary users. The system is configured for receiving a registration request from a primary user, wherein the registration request is associated with registration of one or more secondary users, in response to receiving the request, generating user credentials for each of the one or more secondary users, associating the user credentials with a primary user identification of the primary user, receiving a resource distribution request from a secondary user of the one or more secondary users, authenticating the secondary user, and processing the resource distribution request based on authenticating the secondary user.

Abstract: Arrangements for intelligent routing of transactions via a transaction adapter are provided. In some aspects, a request for a system selected mobile transaction adapter may be received from a user computing device in a current geographic location. Responsive to receiving the request, a computing platform may generate a plurality of requests for external entity data. The computing platform may receive entity data from the one or more external entities. In some examples, the entity data from the one or more external entities may be analyzed using machine learning. For instance, one or more machine learning models may be executed to identify, based on the data, an optimal or preferred service provider and/or mobile transaction adapter associated with the identified service provider. The identified mobile transaction adapter may then be transmitted to the user computing device for installation.

Abstract: Arrangements for transaction adapter control are provided. In some aspects, a user device may connect to a network in a current geographic location. The user computing device may detect that a change in geographic location has occurred based on the current geographic location. Responsive to detecting that the change in geographic location has occurred, a mobile transaction adapter associated with or unique to the current geographic location may be downloaded to the user computing device. The mobile transaction adapter may be a plug-in component to a mobile payment application on the user computing device. A request to process a transaction may be received via the mobile payment application on the user device. Upon receiving the request to process the transaction, the mobile transaction adapter may be activated and the request may be routed to the mobile transaction adapter. The requested transaction may then be processed via the mobile transaction adapter.

Abstract: An intelligent data partitioning engine processes instructions to monitor an input queue of a cluster computing framework processing on a distributed computing system. The intelligent data partitioning engine calculates data requirements for processing of one or more program files in the input queue and determines, based on a block size and available processing resources of a plurality of nodes of the distributed computing system, a number of data partitions. Based on the data partitions, the intelligent data partitioning engine triggers execution of the one or more program files by the cluster computing framework, where the cluster computing framework is configured based on the block size and the number of data partitions and updates the data requirements for processing of the one or more program files based on feedback from the cluster computing framework corresponding to one or more previous processing runs of the one or more program files.

Abstract: Domain-based server-selection computer-implemented processes and machines implement an extension of RAFT consensus for leader selection based on patterns of update data proximity. Accounts involved in payment or other transactions are maintained as “sharded” data across data store instances that are split into shards according to their temporal activity. If the domain attributes for a node exceed a threshold and are greater than the other nodes, the node is designated as a leader node and the others are designated as follower nodes. This provides an additional optimization in network performance by introducing insights in normal operations within a domain in a distributed network. If the domain attributes do not exceed the threshold and/or are not greater than the other nodes, a traditional consensus algorithm is used to select leader and follower nodes.