Patents by Inventor Zhi-Ping Ng

Zhi-Ping Ng 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).

  • AUTOMATED WEB TRAFFIC ANOMALY DETECTION
    Publication number: 20240064164
    Abstract: An anomaly detection system that includes a database and a server. The server is connected to the database. The server is configured to identify anomalous web traffic for a certain time period based on one or more client keys from the certain time period. The client key(s) includes at least two characteristics related to web traffic data. The server includes a processing unit and a memory. The server is configured to receive the web traffic data from the database, calculate a z-score metric for the client key, calculate a change rate metric for the client key, calculate a failure metric for the client key, determine an anomaly score based on the z-score metric, the change rate metric, and the failure metric, and determine that the certain time period is an anomalous time period based on the anomaly score.
    Type: Application
    Filed: August 21, 2023
    Publication date: February 22, 2024
    Inventors: John Hearty, Jake Madison, Zhi-Ping Ng, Nicholas Desmond
  • Automated web traffic anomaly detection
    Patent number: 11736505
    Abstract: An anomaly detection system that includes a database and a server. The server is connected to the database. The server is configured to identify anomalous web traffic for a certain time period based on one or more client keys from the certain time period. The client key(s) includes at least two characteristics related to web traffic data. The server includes a processing unit and a memory. The server is configured to receive the web traffic data from the database, calculate a z-score metric for the client key, calculate a change rate metric for the client key, calculate a failure metric for the client key, determine an anomaly score based on the z-score metric, the change rate metric, and the failure metric, and determine that the certain time period is an anomalous time period based on the anomaly score.
    Type: Grant
    Filed: February 5, 2021
    Date of Patent: August 22, 2023
    Assignee: MASTERCARD TECHNOLOGIES CANADA ULC
    Inventors: John Hearty, Jake Madison, Zhi-Ping Ng, Nicholas Desmond
  • AUTOMATED WEB TRAFFIC ANOMALY DETECTION
    Publication number: 20210250368
    Abstract: An anomaly detection system that includes a database and a server. The server is connected to the database. The server is configured to identify anomalous web traffic for a certain time period based on one or more client keys from the certain time period. The client key(s) includes at least two characteristics related to web traffic data. The server includes a processing unit and a memory. The server is configured to receive the web traffic data from the database, calculate a z-score metric for the client key, calculate a change rate metric for the client key, calculate a failure metric for the client key, determine an anomaly score based on the z-score metric, the change rate metric, and the failure metric, and determine that the certain time period is an anomalous time period based on the anomaly score.
    Type: Application
    Filed: February 5, 2021
    Publication date: August 12, 2021
    Inventors: John Hearty, Jake Madison, Zhi-Ping Ng, Nicholas Desmond