Visa International Service Association

Minghua Xu

Jose Rios Trevino

Vinjith Nagaraja

Ying Hao

Shengfei Gu

Karankumar Hiteshbhai Patel

Upendra S Mardikar

Pratyay Mukherjee

Sanjeev Sharma

Jalpesh Chitalia

Brijendra Singh

Abhishek Guglani

Jose Luis Rios Trevino

Gerald Destremps

Wei Zhang

Hao Yang

Liang Wang

Mihai Christodorescu

Saikrishna Badrinarayanan

Chiranjeet Chetia

Gaven James Watson

Peter Rindal

William Joseph Leddy, Iii

Junpeng Wang

Yiwei Cai

Shi Cao

Yilei Chen

Peng Wu

Harishkumar Sundarji Majithiya

Roshni Ann Samuel

Daniel Masny

Sikhar Patranabis

Shan Jin

Embodiments are directed to methods and systems for crypto-agile encryption and decryption. A computer system can possess a protocol file that identifies one or more cryptographic software modules. Using these cryptographic software modules, the computer system can generate a plurality of shared secrets and a session key, then use the session key to encrypt a message. The message can be sent to a server computer that can subsequently decrypt the message. At a later time, the protocol file can be updated to identify a different set of cryptographic software modules, which can be used to encrypt messages. Further, the server computer can transmit additional cryptographic software modules to the computer system, enabling the computer system to use those cryptographic software modules to generate cryptographic keys. As such, the cryptographic protocol file can be changed in response to changes in the cryptographic needs of the computer system.

Agile cryptographic deployment service

Provided is a method for detecting group activities in a network. The method may include receiving interaction data associated with a plurality of interactions. For each account identifier associated with at least one interaction, a value may be determined for each of a first set of categories, and a vector may be generated based on the value for each category. The length of each vector may be determined. At least one relational graph may be generated based on the interaction data. Each relational graph may be associated with a respective category of a second set of categories. At least one cluster of nodes may be determined based on the relational graph(s). A score for each cluster may be determined based on the length of the vector associated with the account identifier of each node of the cluster of nodes. A system and computer program product are also disclosed.

Method, system, and computer program product for detecting group activities in a network

Provided are systems for conducting private set intersection (PSI) techniques with multiple parties using a data repository that include at least one processor to generate a data repository, receive, from a submission entity system associated with a submission entity, a private set intersection (PSI) data query that includes a match parameter for performing the PSI data query, transmit, to the submission entity system, a data classification encryption key, wherein the data classification encryption key is associated with a data field that corresponds to a match parameter data field of the match parameter, determine whether to authorize the PSI data query on the data repository, transmit, to the submission entity system, a data authorization encryption key based on determining to authorize the PSI data query on the data repository, and perform the PSI data query on the data repository. Methods and computer program products are also provided.

System, method, and computer program product for conducting private set intersection (PSI) techniques with multiple parties using a data repository

Provided are systems for authenticating an individual using image feature templates that include at least one processor to train a first machine learning model based on a training dataset of a plurality of images of a user, generate a plurality of image feature templates using the first machine learning model, wherein each image feature template of the plurality of image feature templates is associated with a positive authentication of the identity of the user during a time interval, generate a second machine learning model based on the plurality of image feature templates, generate a predicted image feature template using the second machine learning model, determine whether to authenticate the identity of the user based on an input image of the user, and perform an action based on determining whether to authenticate the identity of the user. Methods and computer program products are also provided.

System, method, and computer program product for evolutionary learning in verification template matching during biometric authentication

Provided are a system, method, and computer program product for patient authentication and identity risk assessment. The method includes receiving an initial patient authorization request from a medical provider computing device. The initial patient authorization request includes a patient identifier communicated by a mobile device of a user to the medical provider computing device. The method also includes generating, using an identification risk assessment model and based at least partly on the initial patient authorization request, an authenticity score. The method further includes communicating the authenticity score to an insurance provider system to cause the insurance provider system to approve or decline the initial patient authorization request. The method further includes receiving a primary insurance provider response from the insurance provider system and communicating at least a portion of the primary insurance provider response to the medical provider computing device.

System, method, and computer program product for patient authentication and identity risk assessment

A method performed by a user device is disclosed. The method comprising generating a secret and measuring a biometric template of a user operating the user device. The method then generates a plurality of secret shares of the secret and of the biometric template. The user device then transmits the secret shares of the secret and of the biometric template to a plurality of recovery devices. After, the user device may then initiate a recovery of the secret and measure a biometric measurement of the user. Data of the biometric measurement may be transmitted to the plurality of recovery devices, where the recovery devices perform a partial computation. The user device use the plurality of partial computations to determine a match between the biometric template and the biometric measurement. If the two biometrics match, the user device can reconstruct the secret using shares of the secret from the recovery devices.

Distributed private key recovery

Embodiments of the invention are directed to systems, method, and devices for detecting failures in distributed systems. A failure detection platform may identify anomalies in time series data, the time series data corresponding to historical network messages. The anomalies can be labeled and used to train a first predictive model. At least one other model may be trained using the time series data, the anomaly labels and a supervised machine-learning algorithm. A third model can be trained to identify a system failure based at least in part on the outputs provided by the first and the second model. The third model, once trained, can be utilized to predict a future system failure.

Failure prediction in distributed environments

Methods, systems, and devices are provided for authenticating API messages using PKI-based authentication techniques. A client system can generate a private/public key pair associated with the client system and sign an API message using the private key of the private/public key pair and a PKI-based cryptographic algorithm, before sending the signed API message to a server system. The server system (e.g., operated by a service provider) can authenticate the incoming signed API message using a proxy authenticator located in less trusted zone (e.g., a perimeter network) of the server system. In particular, the proxy authenticator can be configured to verify the signature of the signed API message using the public key corresponding to the private key and the same cryptographic algorithm. The authenticated API message can then be forwarded to a more trusted zone (e.g., an internal network) of the server system for further processing.

Methods and systems for PKI-based authentication

Described herein are systems and methods in which key values associated with events are aggregated as those events are processed by an event processing engine. In some embodiments, the system maintains a number of key-value mappings associated with a plurality of key values to be updated. Each key value may be associated with a key log that can be accessed to quickly generate useful information while minimizing the number of operations needed to generate that information. The key log may be updated each time that the associated key value is updated in order to maintain a running history of key-value updates.

Event-driven architecture using rolling aggregates

Embodiments of the invention are directed to methods, systems and devices for providing sensitive user data to a mobile device using an encryption key. For example, a mobile application on a mobile device may receive encrypted sensitive user data from a mobile application server, where the user sensitive data is encrypted with a key from a token server computer. The mobile application may then request that the encrypted payment information be sent to the token server. The mobile device may then receive a payment token associated with the payment information from the token server.

Remote server encrypted data provisioning system and methods

Growing community of inventors

Austin, TX, United States of America

Minghua Xu