Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for transaction processing using a smart device. In one embodiment, a system and method are introduced which enable the use of a third-party provider in conjunction with the smart device. The third-party provider can enable transaction processing and offloading, eliminating the need for processing via an application server. In another embodiment, a dynamic machine-readable code is further introduced for providing the communication between the third-party provider and the smart device.

Abstract: Methods and systems are presented for providing a data control framework that enables storing, sharing, and transferring of data in a secure manner. Data files stored in data repositories are scanned. Content associated with different section of each data file is analyzed, and each section is tagged with a sensitivity level based on the content and a subject matter derived for the data file. Each data file is also assigned to a clearance classification based on an expected viewer of the data file. When sections from a first data file is being transferred to a second data file, a data control mechanism is triggered. If a particular section from the first data file is incompatible with the second data file, the data control mechanism may prevent the particular section from being transferred to the second data file, while allowing the remaining sections being transferred to the second data file.

Abstract: Methods and systems are presented for bot detection. A movement of a pointing device is tracked via a graphical user interface (GUI) of an application executable at a user device. Movement data associated with different locations of the pointing device within the GUI is obtained. The movement data is mapped to functional areas corresponding to a range of the different locations of the pointing device within the GUI over consecutive time intervals. At least one vector representing a sequence of movements for at least one trajectory of the pointing device through one or more of the functional areas and a duration the pointing device stays within each functional area is generated. At least one trained machine learning model is used to determine whether the sequence of movements of the pointing device was produced through human interaction with the pointing device by an actual user of the user device.

Abstract: Methods, systems, and computer program products are included for load balancing processing of a data stream that is communicated over a network. An exemplary method includes establishing a communication session over a network between a source endpoint device and a destination endpoint device. A network device in the network receives a data stream that is communicated to the destination endpoint device from the source endpoint device during the communication session. The network device provides data corresponding to the data stream to a processing device. The processing device identifies a portion of the data that is assigned to the processing device and performs operations to process the portion of the data. After performing the operations, the processing device communicates a response corresponding to the processing to the source endpoint device by way of the destination endpoint device.

Abstract: There are provided systems and methods for application data displayed through a selectable application icon. A computing device, such as a mobile smart phone, may include one or more processing application, such as a payment application to utilize an online payment provider. The application may include a desktop or folder icon, or other visual icon that may be presented within an interface of the device's operating system. Additionally, the application may include application data normally presented to the user of the device during operation of the application. The application or the device's operating system may select an informational element of the application information to present to the user. The informational element may then be presented on the application icon while the application is unopened or executing in the background of the operating system. Multiple informational elements may be cycled through on the application icon.

Abstract: Techniques are disclosed for time constrained electronic request evaluation. A server system receives, from a computing device, a request submitted via an account, including a first set of characteristics associated with the request. The system executes a first machine-learning model to determine a first risk score for the request by inputting the first set of characteristics into the first model. The system generates an initial authentication decision for the request based on the first score and sends the decision to the device. The system executes a second, different machine-learning model to determine a second risk score for the request, by inputting the first set of characteristics and a second, different set of characteristics associated with the account into the second model. Based on the second score, the system determines a final authentication decision. The disclosed techniques may advantageously improve computer security and operations via identification of malicious electronic requests.

Abstract: There are provided systems and methods for a distributed autonomous patching system. During patching of a cloud computing architecture, an autonomous patching system may operator autonomously with no to minimal operator input to patch the host machines and corresponding computes of the cloud computing architecture's available applications. This may work by receiving a patch and determining corresponding patching factors for an availability zone of computes in the cloud. The system may then determine a patching topology map having an order of patching nodes for the selected computes of the application in the availability zone. Thereafter, while monitoring those computes, the system may select certain computes into an active processing funnel, where the patch is applied to those computes. Fingerprinting of before and after-patch states may be used to ensure proper patching.

Abstract: Methods and systems are presented for providing a machine learning model framework configured to perform complex data classifications. Upon receiving a request for classifying data, the data is recursively assigned to one or more clusters. During each iteration of clustering assignment, a set of clusters is selected based on a previously assigned cluster for the data, and the data is then assigned to a particular cluster from the selected set of clusters. The machine learning model framework also includes a plurality of machine learning models configured to perform simple data classifications. A particular machine learning model is selected from the plurality of machine learning model based on the one or more clusters to which the document is assigned. The particular machine learning model is then used to classify the document.

Abstract: Methods and systems are presented for collectively storing, managing, and analyzing data associated with different data sources. A data management system defines an enterprise data model schema based on different data model schemas associated with the different data sources. The data management system generates, for each data source, an enterprise data model instance based on the enterprise data model schema. Data is ingested from the different data sources, and then transformed and stored in a corresponding enterprise data model instance based on a mapping between a corresponding data model schema and the enterprise data model schema. Upon ingesting the data from the data sources, one or more consolidated data views are generated that combine at least portions of data from different enterprise data model instances. The data arranged according to the one or more consolidated data views is presented on a device and/or further analyzed to produce an analysis outcome.

Abstract: Methods and systems are presented for providing a framework for facilitating offline cryptocurrency transactions. A first application executed in a first secure enclave of a first device can register itself with a cryptocurrency computer network for initiating offline cryptocurrency transactions and reserve a denomination of cryptocurrency for the offline cryptocurrency transactions based on a token. The first application initiates an offline cryptocurrency transaction with a second application executed in a second enclave of a second device by transmitting a request comprising the token via a peer-to-peer connection. The second application verifies the request based on the token and attributes associated with the first application and the first secure enclave. Upon accepting the request, the second application stores the token in the second secure enclave.

Abstract: There are provided systems and methods for configuration-driven efficient transformation of formats and object structures for data specifications in computing services. A service provider, such as an electronic transaction processor for digital transactions, may utilize different computing services that implement rules and artificial intelligence models for decision-making of data including data in production computing environment. Different services may process data in different data formats and structures. However, transformation of data between different services, such as a gateway service that may receive data processing requests and/or data objects and downstream services that may process such requests and objects, may take significant time and resources. A configuration-driven data transformation platform may intelligently create code for and select from transformers that may be used for data transformations.

Abstract: A system, a medium, and a method are provided to exchange data packets over a communications network and perform machine learning operations. A network server device receives account data from client devices that correspond to account profiles. An account engine of the network server device segments the account profiles into profile groups based on a respective balance associated with each account profile. The account engine determines target accounts from profile groups based on behavioral data. Further, data processing components of the network server device determine a method of contact for each target account. The data processing components determine a respective time to communicate with a respective device for each target account. Further, communication components of the network server device initiate communications to the respective devices at the respective times for each target account.

Abstract: Techniques for providing access to scope-delimited sensitive data are disclosed. A user provides sensitive data to a first party associated with a payment service provider. The first party stores the sensitive data with the payment service provider, and the payment service provider provides the first party merchant with an encoding of the payment data. The first party provides a purchasing opportunity to the user for goods offered by a third party also associated with the payment service provider. The first party transmits a sensitive data grant request to the payment service provider. In response, the payment service provides a scope-delimited encoding of the sensitive data. The first party provides the scope-delimited encoding of the payment data to the third party. The third party merchant creates a transaction using the scope-delimited encoding of the sensitive data. At some time later, access to the scope-delimited encoding of the sensitive data is revoked.

Abstract: Methods and systems are presented for mining data in association with predicting occurrences of events. Upon detecting an occurrence of an event associated with a transaction, a data mining system accesses data associated with different transactions, and generates a decision tree for predicting occurrences of the event based on the data. Using a classification specification, the data mining system traverses the decision tree and prunes at least a portion of the decision tree that does not satisfy the classification specification. The data mining system then extracts data relevant to predicting occurrences of the event from the pruned decision tree. The extracted data includes attributes and/or criteria that are relevant to predicting occurrences of the event. Based on the extracted data, one or more actions can be performed to improve the event prediction process and/or reduce the frequency of the occurrences of the event.

Abstract: A system, including: a non-transitory memory; and one or more hardware processors coupled to the non-transitory memory and configured to read instructions from the non-transitory memory to cause the system to perform operations including: receiving a transaction request from an endpoint device on a network, wherein the endpoint device is registered with a transaction service provider; locating, based on the transaction request, an authorization token corresponding to a payment mechanism, wherein the authorization token is stored to a memory device of the router; in response to receiving the transaction request, transmitting the authorization token to the transaction service provider to retrieve transaction information from the transaction service provider, wherein the transaction information includes payment data for a user of the endpoint device; and transmitting the transaction information to the upstream network location, wherein the upstream network location includes a merchant server.

Abstract: A system and method for receiving and executing emoji based commands is disclosed. The system and method may include processes such as identifying ,emojis in a message, determining one or more action based on the emoji, and completing the determined actions.

Abstract: A method includes receiving, by a token provider server, a first request for a first token that is associated with first information from a first application. The first request for the first token is part of an application session between a plurality of applications that includes the first application. The token provider server provides the first token to the first application. The token provider server receives the first token from a second application of the plurality of applications. The token provider server provides first information associated with the first token to the second application. The first information enables an action to be performed by the second application based on the first information.

Abstract: There are provided systems and methods for a guided web crawler for automated identification and verification of webpage resources. A service provider, such as an online transaction processor, may provide a guided web crawler and/or resources for such crawler for execution by computing devices of users. Users may load different pluggable modules to the guided web crawler, which are associated with specific web crawling tasks. Web crawling tasks may correspond to identification and verification of webpage resources on a webpage, such as a location, placement, use of, and/or number of appearances of the resource. The web crawler may use code from the pluggable module being executed to parse and/or crawl webpage data for a webpage and identify requested resources. Thereafter, the guided web crawler may automate resources to use, display, and/or interact with the identified and verified resource.

Abstract: Techniques are disclosed relating to the automated capture and reporting of user-verification metric data. In various embodiments, a server system may maintain a set of user-verification rules usable to verify an identity of a user requesting to perform operations via a service provided by the server system. In response to receiving an updated rule definition for a particular user-verification rule, the server system may automatically generate an updated schema for the particular user-verification rule, where the updated schema specifies a structure of event messages used to documents uses of the particular user-verification rule by a user-verification service. The server system may then receive information corresponding to a particular use of the particular user-verification rule and, using the updated schema, generate an event message to document the particular use of the particular user-verification rule.

Abstract: Methods and systems are presented for translating informal utterances into formal texts. Informal utterances may include words in abbreviation forms or typographical errors. The informal utterances may be processed by mapping each word in an utterance into a well-defined token. The mapping from the words to the tokens may be based on a context associated with the utterance derived by analyzing the utterance in a character-by-character basis. The token that is mapped for each word can be one of a vocabulary token that corresponds to a formal word in a pre-defined word corpus, an unknown token that corresponds to an unknown word, or a masked token. Formal text may then be generated based on the mapped tokens. Through the processing of informal utterances using the techniques disclosed herein, the informal utterances are both normalized and sanitized.