Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: Systems and methods disclosed herein securely provide confidential information associated with a user during an active voice call conducted using the user's mobile device. The confidential information may be provided by generating the information in spoken form and inserting the spoken information into an audio stream of the voice call. For example, a customer may be on a phone call with a customer agent. The customer agent may ask the customer for a credit card number in order to process a financial transaction. The customer may select the credit card number via an application executing on the customer's mobile phone. The application may cause the credit card number to be spoken out loud during the voice call. A voice sample of the spoken credit card number in inserted into the audio stream of the voice call and is therefore, audible to the customer and the customer agent without being overheard by a third party.

Abstract: A system for alerting a user of undesired components in purchase items is provided. The system comprises receiving a list of undesired components of purchased items, and defining an alert to a user of an undesired component in a purchased item, the alert comprising an alert timing configuration and an undesired component identification. The system further comprises receiving a notice that the user purchased an item, determining whether a listing of the purchased item has been automatically collected, and generating a list of components of the purchased item when the purchased item listing has been automatically collected, and obtaining from the user the list of components of the purchased item when the purchased item listing has not been automatically collected. The system further determines whether the purchased item contains an undesired component, and upon determining that the purchased item contains art undesired component, sends the alert to the user.

Abstract: Examples are described that enable a sales notification application executing on the mobile device to provide an indication of a better price for a product. In the examples, product information may be obtained from product purchase receipts uploaded by mobile devices executing an instance of a sales notification application. Similarities may be determined between the product information received from each product purchase of the plurality of product purchases. The product information from each of the uploaded receipts may be aggregated based on the determined similarity between the product information. A selected product and a location at which the selected product has been purchased previously may be received for comparison to the aggregated information in a product purchase database. A comparison result may be output to the sales notification application. A payment card may be enabled to purchase the selected product.

Abstract: A device receives image data associated with an environment of an individual and identifies verifiable content by processing the image data. The device processes the verifiable content to determine a likelihood that the individual is an employee or agent of an organization and to determine a set of likelihoods of the environment being a work environment. The device determines, based on the likelihood and the set of likelihoods, a number of verifiable hours worked by the individual during a given time period. The device identifies wages data that specifies a number of hours worked that has been credited to the individual for the given time period, determines that an amount of wages paid to the individual is an incorrect amount of wages, and provides an alert to another device that indicates that the amount of wages paid to the individual is the incorrect amount of wages.

Abstract: Various embodiments are generally directed to method and devices to receive biometric data and transaction data relating to a transaction, apply a model to the biometric data and the transaction data to determine an emotional state of the user during the transaction, and determine an action associated for the transaction based on the emotional state of the user during the performance of the transaction. Embodiments further include causing performance of the action.

Abstract: Systems and methods of detecting fraudulent activity including skimmers adapted to compromise transacting devices such as automated teller machines (ATMs) are disclosed. In one embodiment, an exemplary computer-implemented method may comprise determining that a subject device has a risk level higher than a risk threshold, providing a push notification to a mobile device proximal to the subject device, executing a software application executed by the mobile device for gathering information and transmitting feedback regarding the subject device, and providing an incentive, upon receipt of the feedback, to, for example, an account or device associated with an individual involved with the feedback or interaction with the device.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: Various embodiments may be generally directed to techniques for planning currency exchange transactions based on customer-provided budgeting information associated with international travel. In some embodiments, an apparatus may comprise a network interface and processing circuitry coupled to the network interface, and the processing circuitry may be operative to forecast future requirements for one or more currencies based on travel budgeting information associated with scheduled international travel. In an example embodiment, the processing circuitry may receive travel budgeting information indicating one or more budgeted amounts of a first currency, determine a marginal currency requirement projection for a second currency based on the one or more budgeted amounts of the first currency, and update a currency requirement forecast for the second currency based on the marginal currency requirement projection. The embodiments are not limited in this context.

Abstract: A device may obtain user information associated with a user and first account information associated with the user. The device may determine, based on the user information, user employment information and may determine, based on the first account information, user compensation information. The device may process, using a first machine learning model, the user employment information and the user compensation information to determine predicted future user compensation information. The device may obtain second account information associated with the user and may determine, based on the second account information, new user compensation information. The device may determine whether the new user compensation information is consistent with the predicted future user compensation information. The device may determine a predicted reason for the new user compensation information not being consistent with the predicted future user compensation information.

Abstract: Various embodiments are generally directed to method and devices to receive biometric data and transaction data relating to a transaction, apply a model to the biometric data and the transaction data to determine an emotional state of the user during the transaction, and determine an action associated for the transaction based on the emotional state of the user during the performance of the transaction. Embodiments further include causing performance of the action.

Abstract: Systems and methods of detecting fraudulent activity including skimmers adapted to compromise transacting devices such as automated teller machines (ATMs) are disclosed. In one embodiment, an exemplary computer-implemented method may comprise generating a database of information regarding risk levels of a plurality of transacting devices, determining that a subject device has a risk level higher than a risk threshold, providing a push notification to a mobile device proximal to the subject device, executing a software application executed by the mobile device for gathering information and transmitting feedback regarding the subject device, and providing an incentive, upon receipt of the feedback, to an account or device associated with an individual involved with the feedback or interaction with the device.

Abstract: A device receives image data associated with an environment of an individual and identifies verifiable content by processing the image data. The device processes the verifiable content to determine a likelihood that the individual is an employee or agent of an organization and to determine a set of likelihoods of the environment being a work environment. The device determines, based on the likelihood and the set of likelihoods, a number of verifiable hours worked by the individual during a given time period. The device identifies wages data that specifies a number of hours worked that has been credited to the individual for the given time period, determines that an amount of wages paid to the individual is an incorrect amount of wages, and provides an alert to another device that indicates that the amount of wages paid to the individual is the incorrect amount of wages.

Abstract: Various embodiments are generally directed to method and devices to receive biometric data and transaction data relating to a transaction, apply a model to the biometric data and the transaction data to determine an emotional state of the user during the transaction, and determine an action associated for the transaction based on the emotional state of the user during the performance of the transaction. Embodiments further include causing performance of the action.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.