Capital One Services, LLC

Adam Vukich

Joshua S Edwards

Abdelkader M'Hamed Benkreira

James Zarakas

Mykhaylo Bulgakov

Molly Elizabeth Johnson

George Bergeron

David Gabriele

Vu Nguyen

Jonatan Yucra Rodriguez

Colin Hart

Jason Ji

Taurean Butler

Kaylyn S Gibilterra

Christine Berglund

Jessica Greenberg

Andrea Montealegre

William Carroll

Ljubica Chatman

Michael Bakr Mossoba

Kaitlin J Newman

Kevin Patrick Kelly

Steven Quadros

Adnan Malik

Abdelkadar M'Hamed Benkreira

Sarah Jane Cunningham

Tyler Maiman

Bryant Alan Yee

Abdelkader Benkreira

Leeyat Bracha Tessler

Eric Medin

Jonathan Bodner

Cruz Vargas

Abdelkader M'hamed Benkreira

A fuel price determination system may receive transaction data identifying purchases, made with transaction cards and mobile transaction card applications of client devices, of fuel at fuel stations. The fuel price determination system may receive location data identifying locations associated with users of the client devices and the transaction cards, and user history data associated with prior purchases of fuel at fuel stations by the users. The fuel price determination system may process the transaction data, location data, and user history data, with a machine learning model, to determine fuel prices at the fuel stations. The fuel price determination system may determine a ranked list of particular fuel stations in a geographical area based on the fuel prices and populate, based on the location data and the ranked list, a map to identify the particular fuel stations and the fuel prices at the particular fuel stations.

Utilizing machine learning and transaction data to determine fuel prices at fuel stations

Various embodiments described herein are generally directed to techniques for managing fraud rules and generating authentication directions according to location data from one or more client devices. Embodiments may include using a payment server informed by a client device application to manage and/or apply fraud rules for transactions. In embodiments, fraud rules may be managed based on location data provided by a client device application and/or location data associated with at least one transaction system. In some embodiments, fraud rules may be managed based on location data provided by multiple client device applications and/or location data associated with at least one transaction system. In some embodiments, rules may be managed for an individual authorization request according to information from at least one client device application and location data for a transaction system associated with the authorization request.

Methods for enhancing transaction authorizations with device location data

The present disclosure describes a smart card that determines a context associated with the smart card and displays information based on the determined context. The smart card may determine a location of the smart card. Based on the determined location, the smart card may retrieve a list of establishments. The list of establishments may be used to determine a context, for example, based on information related to the establishments, historical information, user information, etc. Once the context is determined, the smart card may select information to display on the smart card. By limiting the information displayed on the smart card, the smart card may limit what can be captured by bad actors, thereby improving the security of the smart cards.

Dynamically displaying contextual information on a smart card

A device may obtain digital signature information relating to a quantity of a type of cryptocurrency, and receive transaction data relating to a credit account, associated with a user, after obtaining the digital signature information. The transaction data may include information identifying a transaction amount. The device may determine, after receiving the transaction data, an amount, of the type of cryptocurrency, that satisfies the transaction amount, perform, using the digital signature information, an action to conduct a sale of a portion of the quantity of the type of cryptocurrency based on determining the amount, and cause proceeds from the sale to be transferred to the credit account as payment for the transaction amount.

Electronic funds transfers based on automatic cryptocurrency transactions

A multi-function transaction card may receive, from shelf sensors, first data indicating that items have been removed from shelves by a customer of a merchant, and may receive, from shopping cart sensors, second data indicating that the items have been placed in a shopping cart. The multi-function transaction card may receive, based on the first data and the second data, item data identifying the items placed in the shopping cart, wherein the item data is received from price tags of the items. The multi-function transaction card may store the item data, and may provide, to a transaction terminal of the merchant, the item data identifying the items and customer data identifying the customer. The multi-function transaction card may receive, from the transaction terminal, transaction data identifying a transaction that charges the multi-function transaction card for a total cost of the items.

Utilizing a multi-function transaction card to capture item data and enable expedited checkout for purchased items

A fraud detection platform may receive transaction data relating to a transaction conducted by a user with a transaction card. The fraud detection platform may receive, from a biometric sensor of the transaction card, biometric data relating to one or more biometric characteristics of the user during the transaction. The fraud detection platform may receive, from an accelerometer of the transaction card, card movement data relating to a measure of shaking of the transaction card by the user during the transaction. The fraud detection platform may process the transaction data, the biometric data, and the card movement data, with a fraud detection model, to determine a fraud score associated with the transaction. The fraud detection platform may perform one or more actions based on the fraud score.

Utilizing card movement data to identify fraudulent transactions

An EMV enabled terminal may communicate transaction related information to a user via a standard user interface of the terminal, for example, within a user interface displayed on a display screen of the terminal. The transaction related information may be spoken out loud to the user by the terminal. However, users with visual, audio, or other physical impairments may be unable to access the display of the terminal, view the displayed information, or hear the spoken information. Systems and methods disclosed herein communicate transaction related information via an alternate user interface. Instead of relying on the standard user interface related communications, information about the status of a transaction or transaction related information may be determined based on monitoring and evaluating the communications between an EMV secure element of a dynamic transaction card and the terminal via a contact connection.

EMV secure chip communications

A device may receive, from a client device of a customer, item data identifying a price of an item and customer data identifying the customer, where the item data may be received by a transaction card from a price tag of the item. The device may receive price data identifying prices associated with multiple items and other data identifying locations, availabilities, and terms of the multiple items, and may process the item data, the price data, and the other data, with a machine learning model, to identify an optimal price for the item. The device may provide, to the client device, data identifying the optimal price and data identifying a merchant associated with the optimal price, and may receive transaction data identifying the item, the optimal price, and the merchant when the customer purchases the item. The device may perform actions based on the transaction data.

Utilizing machine learning and a smart transaction card to automatically identify optimal prices and rebates for items during in-person shopping

In some implementations, a server device may receive, from a client device, a script identifier, that identifies a script, and an indication of whether the script was successfully executed by the client device. The server device may determine whether a condition associated with disabling the script is satisfied based on the script identifier, the indication of whether the script was successfully executed by the client device, and stored information determined based on a plurality of indications of whether the script was successfully executed by a plurality of other client devices. The server device may selectively cause a data structure to be updated to indicate that the script is disabled based on determining whether the condition is satisfied. The data structure may be used to indicate whether the script is enabled prior to execution of the script.

Disabling a script based on indications of unsuccessful execution of the script

A device attempts to access a resource that requires a multi-factor authentication (MFA), and receives, from an MFA server device, a challenge form. The device performs natural language processing on the challenge form to determine a first location of an input for a security code and a second location of a verify button. The device provides, to an email server device, a request to access emails associated with a user of the device, and receives access to multiple emails associated with the user. The device processes the multiple emails to identify an MFA email in the multiple emails, and identifies a security code in the MFA email. The device provides the security code at the first location, and selects the verify button at the second location. The device provides the security code to the MFA server device, and receives information indicating whether the device is authenticated.

Utilizing natural language processing to automatically perform multi-factor authentication

A device may receive an authorization request, associated with a transaction made by a user device as part of a checkout procedure of a website, that includes a virtual transaction card identifier of a virtual transaction card that is being used for the transaction, and a first merchant identifier for a merchant associated with the website. The device may perform a first authorization procedure to determine whether the first merchant identifier, included in the authorization request, satisfies a threshold level of similarity with a second merchant identifier associated with a request to generate the virtual transaction card that occurred prior to receiving the authorization request. The device may determine whether to forego a second authorization procedure based on a result of the first authorization procedure, and cause an authorization response, that includes an indication of whether the transaction is approved, to be provided to another device associated with the merchant.

Relaxed fraud detection for transactions using virtual transaction cards

Systems and methods for secure browser session transfer are provided. The system may include memory and one or more processors coupled to the memory. The one or more processors may be configured to establish a connection with an active web session of a first browser. The one or more processors may be configured to transfer, based on the established connection, the active web session to a second browser so as to preserve a first set of objects of the active web session of the first browser. The one or more processors may be configured to receive one or more parameters as a first input in the active web session of the second browser. The one or more processors may be configured to execute a plurality of actions in the active web session of the second browser that are responsive to the receipt of the first input.

Systems and methods for secure browser session transfer

A device may configure a browser to permit cash payments for online transactions. The device may monitor a browser session of the browser. The device may detect, during the browser session, navigation of the browser to a transaction page of a website. The transaction page may be configured to facilitate an online transaction with the website. The device may determine, based on detecting the navigation of the browser to the transaction page, that a cash payment is to be provided. The device may cause a validation code to be generated. The device may cause, based on the validation code being processed, a virtual transaction card to be generated. The device may facilitate, using virtual card information associated with the virtual transaction card, execution of the online transaction.

Transaction platform that permits cash payments for online transactions

A server device receives, from a user device, a session initiation request and information identifying a location of the user device, and receives, from a monitoring device that is separate from the user device, an authentication request and information identifying a location of the monitoring device. The server device processes the session initiation request and the authentication request to authenticate a user of the user device, and determines, based on the location of the user device and the location of the monitoring device, that the user device and the monitoring device are collocated. The server device creates, after authenticating the user of the user device and determining that user device and the monitoring device are collocated, a session token, and sends the session token to the user device to enable the user device to access at least one resource of the server device.

Authenticating a user device via a monitoring device

In one aspect, the present disclosure relates to a method for reducing fraud in computer networks, the method including receiving, from each of a plurality of user devices, a request to block an ad displayed within a web browser installed on the user device, the request comprising image data and a forwarding URL associated with the ad; storing crowdsourced ad blocking data based on the received requests to block ads; receiving a request for a list of blocked ads; generating a list of blocked ads based on analyzing the crowdsourced ad blocking data, wherein analyzing the crowdsourced ad blocking data comprises identifying ads blocked by at least a threshold number of users; and sending the list of blocked ads to a first user device, the first user device comprising a browser extension configured to prevent ads within the list of blocked ads from being rendered in a browser.

Growing community of inventors

Alexandria, VA, United States of America

Adam Vukich