Capital One Services, LLC

Xiaoguang Zhu

Kevin Grant Osborn

Samuel Rapowitz

Lukiih Cuan

Lin Ni Lisa Cheng

Ljubica Chatman

Vyjayanthi Vadrevu

Jason Ji

Phoebe Atkins

Nimma Bhusri

Ray Cheng

Brendan Way

Jennifer Kwok

Alexander Lin

Daniel Miller

Abdelkader M'hamed Benkreira

Cameron Noah

Lisa Guo

Systems and methods for recovery access to lost blockchain wallet seed phrases are disclosed. The systems and methods can store seed phrases for users for future retrieval. In some examples, a decentralized oracle creates an oracle private key that can be used to authenticate a user who is requesting the seed phrase. In some examples, the oracle creates a private/public key pair that can be used to transmit and store an encrypted version of the seed phrase. The authentication steps described herein also include knowledge-based authentication questions about the wallet, e.g., prior transactions using the wallet, value of the wallet, and the like.

Knowledge-based authentication for asset wallets

A system may transmit an MLM to one or more entities. The system may receive, from the one or more entities, data associated with a plurality of customers, the data generated by the MLM. The system may train a federated deep NN based on the data. The system may receive, from a user, a first request for a loan. The system may generate, using the federated deep NN, a risk score associated with the user, wherein the risk score comprises a likelihood the user will satisfy condition(s) of the loan. The system may transmit, to lender(s), the risk score and a second request for loan option(s) for backing the first request for the loan. The system may receive, from the first lender(s), the loan option(s) for backing the first request for the loan, and may transmit the loan option(s) to the user.

Systems and methods for exchanging user data

Methods and systems are described herein for an access control system that may receive, from a device associated with a cryptography-based storage application, a blockchain operation request. The blockchain operation request may include an identifier of a cryptographic token (e.g., non-fungible token) that may store encrypted verification data encrypted using a public key associated with the cryptography-based storage application. The access control system may use an address associated with the cryptography-based storage application to send the verification data so that the verification data is decrypted and a first encoding of the decrypted data is generated by the device associated with the cryptography-based storage application. The access control system may then compare that first encoding with a second encoding made from the original verification data, and, based on the first encoding matching the second encoding, generate an authentication confirmation.

Sharing and requesting private data using cryptography

Systems and methods are directed to optimizing a security and recoverability trade-off generally associated with cryptocurrency master key storage. Exemplary embodiments provide a biometrically derived cryptographic seed using a measurement of one or more scale invariant biometric attributes associated with a user. The measured user biometric data is then processed into a repeatable biometric identifier and formatted into a (biometric) cryptographic seed, for derivation of a master extended private key, which may be stored in an HD wallet or used dynamically to conduct a blockchain transaction. The biometric seed and master key generation process may be facilitated by a mobile application responsive to a readout of biometric data from sensors integrated/associated with the mobile device. The captured biometric data may be cryptographically combined with a user-inputted password and/or an authentication data record wirelessly retrieved from an OTP card, to generate a cryptographic seed with greater security attributes.

Systems and methods for creating seed and master keys for blockchain wallets from user biometrics

Systems and methods for validating transfers between cryptographic addresses is disclosed. The systems and methods can include receiving instructions to transfer a first plurality of tokens from a first cryptographic address to a second cryptographic address. The transfer can be validated with a portion of the distributed validation processors. The method can include transferring a first plurality of tokens to the second cryptographic address. The method can include transferring a second plurality of tokens to a first distributed validation processor of the plurality of distributed validation processors. After a predetermined period of time and/or subsequent validations by the first distributed validation processors, the method can include transferring an amount greater than the second plurality of tokens to the first cryptographic address.

Systems and methods for validating transfers between cryptographic addresses

Systems and methods for implementing an automated process for detection of a shared recurring bills and identification of a set of corresponding person-to-person transactions associated with shared portions of the recurring bill. The identification process is prediction-based and contingent upon an analysis of a user's transaction records. A key aspect of the analysis is directed towards transaction amount data (fraction test) and occurrence patterns, derived from the transaction records, in order to identify a shared bill and a set of person-to-person (P2P) transfer transactions associated therewith. Upon identification of a set of P2P transfer transactions associated with a recurrent shared bill, an automation option may be provided to the user.

Systems and methods for identification and automation of shared recurrent transactions based on transaction pattern detection

In some implementations, a server may receive, from a first user device, a request to use an encrypted representation of a digital representation of a physical identifier (ID) associated with the user. Accordingly, the server may transmit, to a second user device, a prompt associated with validation of the request, and may receive, from the second user device, a response to the prompt. The server may validate the request using the response to the prompt. The server may transmit, to a first remote server, at least a first portion of the encrypted representation with a request to perform a first action associated with the user. The server may additionally transmit, to a second remote server, at least a second portion of the encrypted representation with a request to perform a second action associated with the user.

Verification based on an encrypted representation of a physical identifier associated with a user

Disclosed embodiments relate to a smart video conference environment. A live video of a conference participant can be segmented into a foreground, including the participant, and a background that excludes the participant. The background can be replaced by a virtual background determined based on one or more factors. The factors can include context data acquired from a calendar, content based on the context data, and transaction history. Further, interaction amongst conference participants can be monitored and utilized to update the background in one instance based on topics of conversation. Interactive content presented in the virtual background permits interaction by participants with the background. Furthermore, content can also be overlaid on the participant and the background in one instance.

Smart video conference environment

Systems and methods for identifying malicious cryptographic wallet addresses are disclosed. The systems and methods can receive a first plurality of tokens and an indication of a potentially malicious cryptographic wallet address from a requesting user. The system can identify a plurality of associated wallet addresses, and compare the associated wallet addresses to a stored list of malicious cryptographic wallet addresses. The system can determine a subset of the identified associated cryptographic wallet addresses that are malicious and assign a maliciousness rating to the potentially malicious cryptographic wallet address. The system can provide the maliciousness rating to the requesting user.

Systems and methods for identifying malicious cryptographic addresses

Systems and methods of the present disclosure enable IoT-based social networking to detect, using IoT devices at a location, device signals associated with a first user device of a first user. A first user profile associated with the first user device is determined in response to the device signals. User attributes stored in the first user profile are accessed and extracted. A trained profile similarity model is used to determine similarity measures between the first user profile and other user profiles based on the user attributes. At least one similar user profile to the first user profile is identified based on the similarity measures. A meet-up point occupancy of each meet-up point at the location is determined based on a record of meet-up points to identify an open meet-up point. A meet-up recommendation is generated indicating the open meet-up point and the other user profiles.

Internet-of-things sensor network for recommendations based on internet-of-things sensor data and methods of use thereof

Systems for securing transactions based on merchant trust score are disclosed. The system may receive information identifying a merchant from a user device and, in response, retrieve transaction data associated with the merchant and receive website data in response to receiving information identifying the merchant. The system may use a machine learning model to generate a merchant trust score for the merchant, and determine whether the merchant trust score is less than a predetermined threshold. The system may also generate or retrieve an alternative payment method and provide related information or a recommendation to the user device.

Systems for securing transactions based on merchant trust score

The disclosed technology relates to blockchain asset transfer destination verification to reduce fraudulent activity and increase confidence in digital asset transfers. An exemplary oracle device may apply a machine learning model to transaction context data received from a source device to generate a confidence score informed based on transaction pattern data for the destination address. The transaction context data may include a destination address and may be associated with a transfer of an asset via a blockchain network. The generated confidence score may then be sent by the oracle device to the source device to facilitate an informed decision by a user of the source device as to whether to proceed with the transaction. The machine learning model may then be updated based on the transaction context data and a completion indication received from the source device and indicative of whether the asset was transferred via the destination address.

Systems and methods for validating asset destinations in blockchain networks

The disclosed technology relates to assessing and securing credit risk using creditworthiness tokens issued in a blockchain network responsive to particular financial events. An exemplary blockchain node device may store an issuance smart contract associated with an identity and including a first wallet address and allocation parameters. An event query may be sent to an oracle device external to the blockchain network. The event query may include the identity. Event data associated with the identity may then be received from the oracle device in response to the event query. A number of creditworthiness tokens is determined based on an application of the allocation parameters to the event data. The determined number of creditworthiness tokens is then allocated to the identity via the first wallet address. Thereafter, the creditworthiness tokens can be transferred or collateralized, e.g., and can represent creditworthiness for the identity across financial institutions.

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McLean, VA, United States of America

Xiaoguang Zhu