Patents by Inventor Xinwei Xue

Xinwei Xue 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).

  • Fraud detection based on efficient frequent-behavior sorted lists
    Patent number: 9773227
    Abstract: A computerized method for detecting fraud includes obtaining frequency information on entities in transaction data for at least one individual account, converting frequency information to a frequency variable, and predicting whether an activity is fraudulent in response to the frequency variable. In some embodiments, the frequency variable is used with at least one other variable to predict fraudulent activity.
    Type: Grant
    Filed: December 29, 2011
    Date of Patent: September 26, 2017
    Assignee: FAIR ISAAC CORPORATION
    Inventors: Scott M. Zoldi, Hua Li, Xinwei Xue
  • Cyber security adaptive analytics threat monitoring system and method
    Patent number: 9191403
    Abstract: A system and method of detecting command and control behavior of malware on a client computer is disclosed. One or more DNS messages are monitored from one or more client computers to a DNS server to determine a risk that one or more client computers is communicating with a botnet. Real-time entity profiles are generated for at least one of each of the one or more client computers, DNS domain query names, resolved IP addresses of query domain names, client computer-query domain name pairs, pairs of query domain name and corresponding resolved IP address, or query domain name-IP address cliques based on each of the one or more DNS messages. Using the real-time entity profiles, a risk that any of the one or more client computers is infected by malware that utilizes DNS messages for command and control or illegitimate data transmission purposes is determined. One or more scores are generated representing probabilities that one or more client computers is infected by malware.
    Type: Grant
    Filed: January 7, 2014
    Date of Patent: November 17, 2015
    Assignee: FAIR ISAAC CORPORATION
    Inventors: Scott Zoldi, Jehangir Athwal, Hua Li, Matthew Kennel, Xinwei Xue
  • CYBER SECURITY ADAPTIVE ANALYTICS THREAT MONITORING SYSTEM AND METHOD
    Publication number: 20150195299
    Abstract: A system and method of detecting command and control behavior of malware on a client computer is disclosed. One or more DNS messages are monitored from one or more client computers to a DNS server to determine a risk that one or more client computers is communicating with a botnet. Real-time entity profiles are generated for at least one of each of the one or more client computers, DNS domain query names, resolved IP addresses of query domain names, client computer-query domain name pairs, pairs of query domain name and corresponding resolved IP address, or query domain name-IP address cliques based on each of the one or more DNS messages. Using the real-time entity profiles, a risk that any of the one or more client computers is infected by malware that utilizes DNS messages for command and control or illegitimate data transmission purposes is determined. One or more scores are generated representing probabilities that one or more client computers is infected by malware.
    Type: Application
    Filed: January 7, 2014
    Publication date: July 9, 2015
    Applicant: FAIR ISAAC CORPORATION
    Inventors: Scott Zoldi, Jehangir Athwal, Hua Li, Matthew Kennel, Xinwei Xue
  • FRAUD DETECTION BASED ON EFFICIENT FREQUENT-BEHAVIOR SORTED LISTS
    Publication number: 20120101937
    Abstract: A computerized method for detecting fraud includes obtaining frequency information on entities in transaction data for at least one individual account, converting frequency information to a frequency variable, and predicting whether an activity is fraudulent in response to the frequency variable. In some embodiments, the frequency variable is used with at least one other variable to predict fraudulent activity.
    Type: Application
    Filed: December 29, 2011
    Publication date: April 26, 2012
    Inventors: Scott M. Zoldi, Hua Li, Xinwei Xue
  • Fraud detection based on efficient frequent-behavior sorted lists
    Patent number: 8090648
    Abstract: A computerized method for detecting fraud includes obtaining frequency information on entities in transaction data for at least one individual account, converting frequency information to a frequency variable, and predicting whether an activity is fraudulent in response to the frequency variable. In some embodiments, the frequency variable is used with at least one other variable to predict fraudulent activity.
    Type: Grant
    Filed: March 4, 2009
    Date of Patent: January 3, 2012
    Assignee: Fair Isaac Corporation
    Inventors: Scott M. Zoldi, Hua Li, Xinwei Xue
  • FRAUD DETECTION BASED ON EFFICIENT FREQUENT-BEHAVIOR SORTED LISTS
    Publication number: 20100228580
    Abstract: A computerized method for detecting fraud includes obtaining frequency information on entities in transaction data for at least one individual account, converting frequency information to a frequency variable, and predicting whether an activity is fraudulent in response to the frequency variable. In some embodiments, the frequency variable is used with at least one other variable to predict fraudulent activity.
    Type: Application
    Filed: March 4, 2009
    Publication date: September 9, 2010
    Inventors: Scott M. Zoldi, Hua Li, Xinwei Xue