Patents by Inventor Ra Uf Ridzuan Bin Ma Arof

Ra Uf Ridzuan Bin Ma Arof has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240394695
    Abstract: A system for multi-factor user authentication for payment card-based transactions are described. The multifactor authentication may be based on a one-time passcode/password (OTP) as sent by an authentication server. A user device may, based on receiving the OTP, send an authentication code. The authentication code may be generated/determined based on the OTP. The authentication code may be augmented biometric identifier (ID) of a user associated with the user device. The authentication server may validate a transaction based on the authentication code.
    Type: Application
    Filed: August 7, 2024
    Publication date: November 28, 2024
    Inventors: Ra Uf Ridzuan Bin Ma Arof, Harish Tammaji Kulkarni, Kumudini Choyal, Nhat Minh Nguyen, Surendran Surendran
  • Patent number: 12093945
    Abstract: A system for multi-factor user authentication for payment card-based transactions are described. The multifactor authentication may be based on a one-time passcode/password (OTP) as sent by an authentication server. A user device may, based on receiving the OTP, send an authentication code. The authentication code may be generated/determined based on the OTP. The authentication code may be augmented biometric identifier (ID) of a user associated with the user device. The authentication server may validate a transaction based on the authentication code.
    Type: Grant
    Filed: December 17, 2021
    Date of Patent: September 17, 2024
    Assignee: Bank of America Corporation
    Inventors: Ra Uf Ridzuan Bin Ma Arof, Harish Tammaji Kulkarni, Kumudini Choyal, Nhat Minh Nguyen, Surendran Surendran
  • Patent number: 12019749
    Abstract: Systems, methods, and apparatus are provided for intelligent cybersecurity processing of a product update. A fetcher application may access an updated version of a software product, a prior version of the product, and a version control system for the product. A malicious software identification engine may process the data using batch or stream processing to identify suspect code and metadata anomalies in the updated version. The engine may decompile executable binary code to obtain source code for the updated version and the prior version. A machine learning engine may receive input from the malicious software identification engine and classify the input using an NER-based machine learning model. Based on output from the machine learning engine, a control dashboard may block installation of a malicious product update.
    Type: Grant
    Filed: February 10, 2022
    Date of Patent: June 25, 2024
    Assignee: Bank of America Corporation
    Inventors: Pallavi Yerra, Ra Uf Ridzuan Bin Ma Arof, Surendran, Hemant Meenanath Patil
  • Patent number: 11934531
    Abstract: An apparatus includes a memory and a processor. The memory stores descriptions of known vulnerabilities and information generated by a monitoring subsystem. Each description of a known vulnerability identifies software components that are associated with the known vulnerability. The monitoring subsystem monitors software programs that are installed within a computer system. The information includes descriptions of issues that are associated with the software programs. The processor generates a set of mappings, based on a comparison between the text describing the known software vulnerabilities and the text describing the issues. Each mapping associates a software program that is associated with an issue with a known software vulnerability. The processor also uses a machine learning algorithm to predict that a given software program is associated with a particular software vulnerability.
    Type: Grant
    Filed: February 25, 2021
    Date of Patent: March 19, 2024
    Assignee: Bank of America Corporation
    Inventors: Benjamin John Ansell, Yuvraj Singh, Min Cao, Ra Uf Ridzuan Bin Ma Arof, Hemant Meenanath Patil, Pallavi Yerra, Kaushik Mitra Chowdhury
  • Publication number: 20240005312
    Abstract: Aspects of the disclosure relate to multi-factor user authentication for card-based payment transactions using blockchain tokens. An computing platform may receive, from a computing device, transaction details associated with a card-based payment transaction corresponding to a user, wherein the transaction details comprise a card number of a payment card. The computing platform may determine, based on the card number, a user device associated with the user. The computing platform may send, to the user device, a one-time passcode (OTP). After sending the OTP, the computing platform may receive a security key. The security key may be generated based on the sent OTP and a blockchain token hash. The computing platform may, based on the received security key, send, to the computing device, a message indicating whether the transaction is approved or declined.
    Type: Application
    Filed: July 1, 2022
    Publication date: January 4, 2024
    Inventors: Harish Tammaji Kulkarni, Kumudini Choyal, Min Cao, Nhat Minh Nguyen, Ra Uf Ridzuan Bin Ma Arof, Surendran Surendran
  • Publication number: 20230252152
    Abstract: Systems, methods, and apparatus are provided for intelligent cybersecurity processing of a product update. A fetcher application may access an updated version of a software product, a prior version of the product, and a version control system for the product. A malicious software identification engine may process the data using batch or stream processing to identify suspect code and metadata anomalies in the updated version. The engine may decompile executable binary code to obtain source code for the updated version and the prior version. A machine learning engine may receive input from the malicious software identification engine and classify the input using an NER-based machine learning model. Based on output from the machine learning engine, a control dashboard may block installation of a malicious product update.
    Type: Application
    Filed: February 10, 2022
    Publication date: August 10, 2023
    Inventors: Pallavi Yerra, Ra Uf Ridzuan Bin Ma Arof, . Surendran, Hemant Meenanath Patil
  • Publication number: 20230196349
    Abstract: A system for multi-factor user authentication for payment card-based transactions are described. The multifactor authentication may be based on a one-time passcode/password (OTP) as sent by an authentication server. A user device may, based on receiving the OTP, send an authentication code. The authentication code may be generated/determined based on the OTP. The authentication code may be augmented biometric identifier (ID) of a user associated with the user device. The authentication server may validate a transaction based on the authentication code.
    Type: Application
    Filed: December 17, 2021
    Publication date: June 22, 2023
    Inventors: Ra Uf Ridzuan Bin Ma Arof, Harish Tammaji Kulkarni, Kumudini Choyal, Nhat Minh Nguyen, Surendran Surendran
  • Publication number: 20230196376
    Abstract: A system for multi-factor user authentication for payment card-based transactions are described. The multifactor authentication may be based on a one-time passcode/password (OTP) as sent by an authentication server. A user device may, based on receiving the OTP, send an authentication code. The authentication code may be generated/determined based on the OTP. The authentication code may be augmented biometric identifier (ID) of a user associated with the user device. The authentication server may validate a transaction based on the authentication code.
    Type: Application
    Filed: December 17, 2021
    Publication date: June 22, 2023
    Inventors: Ra Uf Ridzuan Bin Ma Arof, Harish Tammaji Kulkarni, Kumudini Choyal, Nhat Minh Nguyen, Surendran Surendran
  • Publication number: 20230196375
    Abstract: A system for multi-factor user authentication for payment card-based transactions are described. The multifactor authentication may be based on a one-time passcode/password (OTP) as sent by an authentication server. A user device may, based on receiving the OTP, send an authentication code. The authentication code may be generated/determined based on the OTP. The authentication code may be augmented biometric identifier (ID) of a user associated with the user device. The authentication server may validate a transaction based on the authentication code.
    Type: Application
    Filed: December 17, 2021
    Publication date: June 22, 2023
    Inventors: Ra Uf Ridzuan Bin Ma Arof, Harish Tammaji Kulkarni, Kumudini Choyal, Nhat Minh Nguyen, Surendran Surendran
  • Publication number: 20220269791
    Abstract: An apparatus includes a memory and a processor. The memory stores descriptions of known vulnerabilities and information generated by a monitoring subsystem. Each description of a known vulnerability identifies software components that are associated with the known vulnerability. The monitoring subsystem monitors software programs that are installed within a computer system. The information includes descriptions of issues that are associated with the software programs. The processor generates a set of mappings, based on a comparison between the text describing the known software vulnerabilities and the text describing the issues. Each mapping associates a software program that is associated with an issue with a known software vulnerability. The processor also uses a machine learning algorithm to predict that a given software program is associated with a particular software vulnerability.
    Type: Application
    Filed: February 25, 2021
    Publication date: August 25, 2022
    Inventors: Benjamin John Ansell, Yuvraj Singh, Min Cao, Ra Uf Ridzuan Bin Ma Arof, Hemant Meenanath Patil, Pallavi Yerra, Kaushik Mitra Chowdhury