Visa International Service Association

Vinjith Nagaraja

Raymond Brammer

Minghua Xu

James Myers

Vamshi Ramarapu

Keeshini Manivannan

James L Myers, Jr

Karankumar Hiteshbhai Patel

Dhruv Vig

Ireneusz Pazdzierniak

Pratyay Mukherjee

Jerry Wald

Shalini Mayor

Jose Rios Trevino

Robert Chifamba

Nagaveera Venkata Su Tavvala

Swapneel Mahajan

Archana Taparia

David Worth

Pankaj Rathore

Karim Mawani

Shanshan Jiang

Christopher Gutierrez

Mihai Christodorescu

Feng Chi Wang

Saikrishna Badrinarayanan

Gaven James Watson

Peter Rindal

Shashi Velur

Yilei Chen

Shengfei Gu

Joel Trunick

Daniel Masny

Vincent Hesener

Dhaval Gangar

Sikhar Patranabis

Shan Jin

David Capezza

Raymond Scott Brammer

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

A method for preventing transmission of malicious data may include receiving transaction data including at least one packet associated with a payment transaction; extracting at least one of network layer data or transport layer data from a header of the at least one packet; determining a first probability indicating that the at least one packet is in a first class based on the at least one of the network layer data or the transport layer data using a classifier. The method may also include determining a second probability indicating that the at least one packet is in a second class based on the at least one of the network layer data or the transport layer data using the classifier; and blocking the at least one packet. A system and a computer program product are also disclosed.

Method, system, and computer program product for preventing transmission of malicious data

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

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 an automated account restoration system. In some embodiments, the system determines a state of an account based on a likelihood that the account has been compromised. If the account is determined to be in a low-risk state, then upon an successful login to that account, a verification cookie may be generated which is unique to a user device used to access the account. If the account is determined to be in a high-risk state, then system may prevent access to the account except by user devices that include a valid verification cookie.

Automated account recovery using trusted devices

Embodiments include apparatuses, methods, and systems for performing security protection of association between a user device and a user. A computing system receives from a service provider a notification that an identifier of a user device has been activated in the user device to be associated with a user identifier to replace an existing identifier of the user device associated with the user identifier. The computing system further receives from the user device a request for information associated with the user identifier to be sent to the user device associated with the identifier of the user device. Before sending the requested information to the user device, the computing system verifies the identifier of the user device has been activated by the user by an additional authentication of the user through a communication path between the user and the computing system. Other embodiments may also be described and claimed.

Security protection of association between a user device and a user

A method and system for remediating vulnerable code libraries, including open source libraries, in a software application. An application, that uses code libraries, and information regarding known library vulnerabilities are received, then it is determined if one or more libraries in the application are vulnerable based upon the information. For each of the one or more vulnerable libraries, a library version that minimizes risk is determined. The determined library version is incorporated into the application to form a test application, and an application test is performed on the test application. If an application test score on the test application is below a predetermined threshold, the determined library version is incorporated into a final application precursor. A final application can be determined from the final application precursor for each of the one or more vulnerable libraries.

Open source vulnerability remediation tool

A method and system for remediating vulnerable code libraries, including open source libraries, in a software application. An application that uses code libraries and information regarding known library vulnerabilities are received, then it identifies one or more libraries in the application that are vulnerable based upon the information. For each of the one or more vulnerable libraries, a library version that minimizes risk is determined. The determined library version is incorporated into the application to form a test application, and an application test is performed on the test application. If an application test score on the test application is below a predetermined threshold, the determined library version is incorporated into a final application precursor. A final application can be determined from the final application precursor for each of the one or more vulnerable libraries.

Techniques for securely generating and using a 'fingerprint' for authentication. A server computer receives a first data set from a user device (including a first fuzzy hash of first user data on the user device). The server computer generates a first fingerprint value based on the first data set. The server computer detects an event corresponding to a user in association with the user device. The server computer identifies a baseline fingerprint value (generated based on a baseline fuzzy hash of user data on the user device). The server computer compares the first fingerprint value to the baseline fingerprint value to generate a similarity score. The server computer may determine that the similarity score exceeds a threshold value but does not represent an exact match, and, based on the similarity score, authenticate the user and update the baseline fingerprint value based on the first fingerprint value.

Dynamic and private security fingerprinting

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Austin, TX, United States of America

Vinjith Nagaraja