Abstract: A user device of a user is detected to be within a first predefined range of a first wireless apparatus. The first wireless apparatus may be a wireless device operating in a frequency spectrum in a gigahertz range and/or based on a millimeter wave technology. One or more electronic messages are received from at least the first wireless apparatus or a second wireless apparatus that is located outside of the first predefined range of the first wireless apparatus. The second wireless apparatus is communicatively coupled to the first wireless apparatus. The second wireless apparatus may be another wireless device operating in the frequency spectrum in the gigahertz range and/or based on the millimeter wave technology. At least a subset of the one or more electronic messages is presented to the user via the user device. A user interaction is determined with the presented one or more electronic messages.

Abstract: There are provided systems and methods for a browser tool and application for providing an exact amount transaction funding source or gift card. A digital gift card may be generated for an exact amount by detecting a checkout total is finalized on a merchant website having a checkout process. This may be done using a computing script that parses a DOM tree for the website and identifies webpage elements to monitor. By monitoring the webpage elements, a checkout total may be detected. This may occur by detecting when input and elements are finalized and present within one or more webpage fields, such as by monitoring HTML or XML code snippets A gift card network may be used to offer an exact amount gift card to a user to be used for full payment of the transaction.

Abstract: Methods and systems described herein may implement blockchain cryptocurrency transactions in a variety of environments. An online transaction processor may provide operations for user activity detection for locking cryptocurrency conversions. The transaction processor may detect used activities for a user online or at a physical location and determine that those activities indicate that the user will engage in electronic transaction processing at an upcoming time. The transaction processor may determine that the user has available cryptocurrency and may want to convert at least a portion of the cryptocurrency to another currency for the electronic transaction processing. Using a cryptocurrency exchange, the transaction processor may determine a price to convert the cryptocurrency to the other currency and may lock that price for a time period for the user. A notification may be transmitted to the user with a user interface element to accept this offer.

Abstract: There are provided systems and methods for targeted authentication queries based on detected user actions. A user may perform various actions during a day, including online, electronic, or digital actions, such as social networking, messaging, and media consumption, as well as real-life actions, such as exercise, travel, and purchases. The actions may be used to determine a user history for the user by a service provider. When the user wishes to login to an account or otherwise authenticate the identity of the user, the user may provide login or authentication credentials. The credentials may be used to look up the user history and cause the service provider to generate an authentication—query for the user based on events associated with the user in the user history. The query may be utilized to further authenticate the user by requiring the user to respond with the event associated with the user.

Abstract: Systems/techniques for facilitating context-enhanced category classification are provided. In various embodiments, a system can access a first textual description of a product or service. In various aspects, the system can identify, via execution of named entity recognition, one or more keywords in the first textual description. In various instances, the system can access, from a set of queryable databases, one or more second textual descriptions that respectively correspond to the one or more keywords. In various cases, the system can generate, via execution of word embedding, a first numerical representation of the first textual description and one or more second numerical representations of the one or more second textual descriptions. In various aspects, the system can identify, via execution of a machine learning classifier, a category label for the product or service, based on the first numerical representation and the one or more second numerical representations.

Abstract: The systems and methods of the multi-blockchain transaction information segregation system of the present disclosure receive a first digital transaction, which includes first digital transaction information and second digital transaction information, through a network via broadcast by a first transaction device. A primary blockchain address provided on a primary blockchain is then identified in the first digital transaction, and a primary blockchain smart contract that is stored on the primary blockchain in association with the primary blockchain address is accessed. The primary blockchain smart contract is then executed to cause the first digital transaction information to be stored on the primary blockchain, and the second digital transaction information to be stored on a secondary blockchain that is separate from the primary blockchain.

Abstract: Systems and methods for automatic generation of free-form conversational interfaces are disclosed. In one embodiment, a system receives an input from a user device through a conversational graphical user interface (GUI). An intent of the user may be determined based on the received input. Based on the intent of the user, the system may identify, from a plurality of objects available to the system, one or more objects. Each of the plurality of objects has annotations corresponding to one or more elements of the object and one or more functions of the object. The one or more functions corresponding to the one or more elements are executable to perform an action upon corresponding elements. Based on the identified one or more objects and the annotations of the identified one or more objects, the system may generate a dynamic dialogue flow for the conversational GUI, where the dynamic dialogue flow is generated in real-time during a conversational GUI session.

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: Virtual currency ledger secured physical currency transmissions include receiving a physical currency transfer request from a physical currency receiver device of a physical currency receiver, and identifying a physical currency deliverer device of a physical currency deliverer. A physical currency delivery confirmation code is then associated with a recipient identified in the physical currency transfer request, and a virtual currency address controlled by the physical currency deliverer and included in a virtual currency public ledger is identified to the physical currency receiver device. A reimbursement request code is then received from the physical currency deliverer device and verified using the physical currency delivery confirmation code.

Abstract: Methods and systems are presented for stolen cookie detection. An authentication request is received for a user to access a website using a web browser executable at the user's device. A series of storage locations available on the device for storing web cookies is identified and sorted in order of increasing fraud risk starting from a first storage location. A cookie value for each storage location is retrieved from the device. For each storage location after the first: an expected cookie value is calculated based on the cookie value of a preceding storage location; the expected cookie value is compared with the value retrieved for the storage location; and a score representing a level of fraud risk for the storage location is assigned. The authentication request is processed based on whether the assigned score for at least one of the storage locations exceeds a predetermined risk tolerance for fraud detection.

Abstract: Expedited virtual currency transactions are provided by identifying a first user primary wallet associated with a virtual currency and including a first user primary wallet private key. First user secondary wallets are created that each include a respective first user secondary wallet private key, and a respective virtual currency transaction is performed using the first user primary wallet private key to transfer predefined amounts of the virtual currency from the first user primary wallet to each of the first user secondary wallets such that first user secondary wallets are provided with different predefined amounts of the virtual currency. Subsequently, an instruction is received to transfer a payment amount to a second user, and the second user is allocated a subset of the first user secondary wallet private keys included in respective first user secondary wallets that are associated with predefined amounts of the virtual currency that equal the payment amount.

Abstract: Techniques are disclosed relating to the execution of machine learning models on client devices, particularly in the context of transaction risk evaluation. This reduces computational burden on server systems. In various embodiments, a server system may receive, from a client device, a request to perform a first operation and select a first machine learning model, from a set of machine learning models, to send to the client device. In some embodiments the first machine learning model is executable, by the client device, to generate model output data for the first operation based on one or more encrypted input data values that are encrypted with a cryptographic key inaccessible to the client device. The server system may send the first machine learning model to the client device and then receive, from the client device, a response message that indicates whether the first operation is authorized based on the model output data.

Abstract: Various systems, mediums, and methods may involve a provider application configured to access a user account associated with a provider server. For example, a system may perform operations to identify one or more other applications installed on the mobile device that may be configured to communicate with the provider server. The system may determine data required by the other applications to perform one or more data transfers with the user account. The system may cause the provider application to send the data required to the other applications. As such, the other applications may be enabled to perform one or more data transfers with the user account based on the data sent to the other applications.

Abstract: Systems and methods for providing a merchant-customer engagement system include a physical merchant location in which a customer may be tracked to determine products within the physical merchant location that the customer is interested in. A merchant may use a wearable merchant device that is configured to identify the customer via a camera that captures an image of the customer, and that image may be used to retrieve customer account information for that customer. Using the customer account information and the products that the customer is showing interest in, the wearable merchant device may be used to display merchant-customer engagement information next to a view of the customer to allow the merchant to help the customer while utilizing a variety of displayed information about the customer including, for example, past purchases, products browsed in-store and previously browsed online, time spent in an area of the physical merchant location, etc.

Abstract: Techniques are disclosed in which an edge user computing device pre-processes a stream of user data prior to using the stream of data to train a machine learning model at the edge device. The edge device receives the stream of user data, where the stream of data includes a first set of characteristics associated with the edge device and a second set of characteristics associated with a plurality of user requests received from a user of the edge device. The edge device repeatedly generates, using the stream of data, sets of pre-processed user data by performing pre-processing techniques on characteristics included in the stream of data. The edge device repeatedly trains, using the sets of pre-processed data, a baseline model to generate a device-trained model, where the baseline model is trained at the edge device without providing user data included in the stream of data to a server computer system.

Abstract: Methods and systems for detecting malware by monitoring client-side memory stacks are described. A request for a payment process is received and a client-side memory stack is populated with a series of functions corresponding to the requested payment process. The execution of each function is monitored to determine whether the series of functions and an order of execution of the functions from the client-side memory stack are the same as an expected series of functions and in an expected order corresponding to the payment process. The monitoring also determines whether the number and types of parameters called by the functions are the same as the expected number and types of parameters. The monitoring further determines whether the timing of the execution of the functions is the same as an expected timing. Remedial action is performed when the any of these factors is determined to be different than what is expected.

Abstract: Methods and systems are presented for providing a multi-party computation (MPC) framework for dynamically configuring, deploying, and utilizing an MPC system for performing distributed computations. Based on device attributes and network attributes associated with computer nodes that are available to be part of the MPC system, a configuration for the MPC system is determined. The configuration may specify a total number of computer nodes within the MPC system, a minimum number of computer nodes required to participate in performing a computation process, a key distribution mechanism, and a computation processing mechanism. Encryption keys are generated and distributed among the computer nodes based on the key distribution mechanism. Upon receiving a request for performing the computation, updated network attributes are obtained.

Abstract: There are provided systems and methods for named entity recognition in chat dialogues for customer relationship management systems. A service provider, such as an electronic transaction processor for digital transactions, may provide live chat service channels for assistance through live agents and chatbot services. When interacting with these channels, a user may engage in a chat dialogue with live agents. This may include lines of texts corresponding to the exchanged messages and may include named entities for particular types or categories of words that refer to a particular object or thing. To identify these named entities, a natural language processor may utilize machine learning and other engines for named entity recognition in customer relationship management systems to highlight the named entities in live service chats. Agents of the systems may view content that identify the named entities and interact with the named entities to view descriptions.

Abstract: Methods and systems for a device identification system may be provided. The device identification system may determine an identity of a user device associated with a transaction. The identity may be determined by network address information, hard link information, soft link information, and/or other such information. The network address information may include IPv4 information, IPv6 information, a device ID, and/or other such information. The identity of the user device may be determined and a transaction conducted from the user device may be assigned a fraudulent transaction risk score according to the information. Transactions that are determined to be at a high risk of fraud may be reviewed or otherwise flagged and/or canceled.

Abstract: There are provided systems and methods for automated adjustment of security alert components in networked computing systems. An entity, such as an electronic transaction processor for digital transactions, may utilize threat detection within a security information and event management system. The threat detection may implement one or more processes to tune security alerts automatically, which can be done prior to deployment. A security alert may be broken into modular components, which may be run progressively, in increasing sampling numbers, against a set of computing logs to identify hits. The hits are compared to an expected proportion for each modular component to determine whether the modular component is providing proper results. Further, threat detection may utilize a system to obtain justifications for potentially malicious behavior to eliminate false positives. This may be done automatically when detecting suspicious activities.