Patents by Inventor Hans Van Arkel

Hans Van Arkel 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).

  • Patent number: 9390418
    Abstract: A system, method and computer program product for processing event records. The present invention includes a detection layer, an analysis layer, an expert systems layer and a presentation layer. The layered system includes a core infrastructure and a configurable, domain-specific implementation. The detection layer employs one or more detection engines, such as, for example, a rules-based thresholding engine and a profiling engine. The detection layer can include an AI-based pattern recognition engine for analyzing data records, for detecting new and interesting patterns and for updating the detection engines to insure that the detection engines can detect the new patterns. In one embodiment, the present invention is implemented as a telecommunications fraud detection system. When fraud is detected, the detection layer generates alarms which are sent to the analysis layer. The analysis layer filters and consolidates the alarms to generate fraud cases.
    Type: Grant
    Filed: August 18, 2008
    Date of Patent: July 12, 2016
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: John Gavan, Kevin Paul, Jim Richards, Charles A Dallas, Hans Van Arkel, Cheryl Herrington, Saralyn Mahone, Terrill J Curtis, James J Wagner
  • Patent number: 9058607
    Abstract: A fraud management system is configured to store rules for detecting fraud. The fraud management system is further configured to receive a transaction involving a consumer and a merchant; obtain network security information associated with malicious activity in a voice network or a data network, where the network security information indicates that the consumer has been involved in malicious activity in the voice network or in the data network; select a subset of rules based on the network security information and information associated with the transaction, the merchant, or the consumer; process the transaction using the subset of rules to generate alarms; process the alarms to generate a fraud score for the transaction; and output information regarding the fraud score to the merchant to assist the merchant in determining whether to accept, deny, or fulfill the transaction.
    Type: Grant
    Filed: December 16, 2010
    Date of Patent: June 16, 2015
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Visweswararao Ganti, John Hans Van Arkel, Adam Young
  • Patent number: 8638916
    Abstract: An approach provides detection of unauthorized use of data services. The number of data calls for access to a data network is tracked over a predetermined time period, and the cumulative duration of the data calls is determined. Thereafter, a determination is made as to whether the number of the data calls and the cumulative duration satisfy, respectively, a first threshold and a second threshold. A potential fraudulent use of the account is determined, if the thresholds are satisfied.
    Type: Grant
    Filed: May 31, 2005
    Date of Patent: January 28, 2014
    Assignee: Verizon Business Global LLC
    Inventors: Saralyn M. Mahone, Matthew J. Gilbert, Thomas E. Stepp, Arthur L. Springer, John Hans Van Arkel
  • Patent number: 8340259
    Abstract: An approach provides fraud detection in support of data communication services. A list of single-event attributes (e.g., hot or cold attributes) is generated and includes a network address of an end user host originating a data call or a calling party identification (e.g., Automatic Number Identification (ANI) or an originating Calling Line Identification (CLI)) for network access, wherein entries of the list specify values of the hot attributes. An attribute value associated with the data call is compared with the entries. A fraud alert is generated if the attribute value matches one of the entries.
    Type: Grant
    Filed: December 8, 2009
    Date of Patent: December 25, 2012
    Assignee: Verizon Business Global LLC
    Inventors: Saralyn M. Mahone, Matthew J. Gilbert, Thomas E. Stepp, Arthur L. Springer, John Hans Van Arkel
  • Publication number: 20120158540
    Abstract: A fraud management system is configured to store rules for detecting fraud. The fraud management system is configured to: receive a transaction involving a consumer and a merchant; select a set of the rules based on information associated with the transaction, information associated with the consumer, or information associated with the merchant; process the transaction, in parallel, using the selected rules to generate a set of alarms; group the alarms, into groups, based on information associated with the transaction; analyze the groups to generate a fraud score; and output information regarding the fraud score to the merchant to notify the merchant whether the transaction is potentially fraudulent.
    Type: Application
    Filed: December 16, 2010
    Publication date: June 21, 2012
    Applicant: VERIZON PATENT AND LICENSING, INC.
    Inventors: Visweswararao GANTI, John Hans Van Arkel
  • Publication number: 20120158586
    Abstract: A fraud management system is configured to receive a transaction from a merchant; select rules to use to process the transaction; process the transaction using the selected rules to generate a set of alarms; and generate an alarm score for each of the alarms. The fraud management system is further configured to combine the alarms with alarms from one or more other transactions to form a combined set of alarms; sorting alarms, in the combined set of alarms, into groups based on attributes of the transaction; generate a group score, for each group, based on at least one of the alarm scores for at least one alarm in the group; generate a fraud score, for the transaction, based on one or more of the group scores; and output information regarding the fraud score to the merchant to notify the merchant whether the transaction is potentially fraudulent.
    Type: Application
    Filed: December 16, 2010
    Publication date: June 21, 2012
    Applicant: VERIZON PATENT AND LICENSING, INC.
    Inventors: Visweswararao GANTI, John Hans Van Arkel, Adam Young, James J. Paravecchio, Lawrence J. Zaykowski
  • Publication number: 20120158541
    Abstract: A fraud management system is configured to store rules for detecting fraud. The fraud management system is further configured to receive a transaction involving a consumer and a merchant; obtain network security information associated with malicious activity in a voice network or a data network, where the network security information indicates that the consumer has been involved in malicious activity in the voice network or in the data network; select a subset of rules based on the network security information and information associated with the transaction, the merchant, or the consumer; process the transaction using the subset of rules to generate alarms; process the alarms to generate a fraud score for the transaction; and output information regarding the fraud score to the merchant to assist the merchant in determining whether to accept, deny, or fulfill the transaction.
    Type: Application
    Filed: December 16, 2010
    Publication date: June 21, 2012
    Applicant: VERIZON PATENT AND LICENSING, INC.
    Inventors: Visweswararao Ganti, John Hans Van Arkel, Adam Young
  • Patent number: 8015414
    Abstract: An approach provides detection of unauthorized use of data services. A determination is made as to whether connections supporting remote access to a data network are completed. The number of completed connections associated with a selected attribute is tracked over a time period. It is then determined whether the number of completed connections satisfies a connection frequency threshold. A fraud alert is generated if the connection frequency threshold is satisfied.
    Type: Grant
    Filed: May 31, 2005
    Date of Patent: September 6, 2011
    Assignee: Verizon Business Global LLC
    Inventors: Saralyn M. Mahone, Matthew J. Gilbert, Thomas E. Stepp, Arthur L. Springer, John Hans Van Arkel
  • Patent number: 7971237
    Abstract: An approach provides fraud detection in support of data communication services. A usage pattern associated with a particular account for remote access to a data network is monitored. The usage pattern is compared with a reference pattern specified for the account. A fraud alert is selectively generated based on the comparison.
    Type: Grant
    Filed: May 12, 2004
    Date of Patent: June 28, 2011
    Assignee: Verizon Business Global LLC
    Inventors: Michael F. Caslin, Matthew J. Gilbert, Thomas E. Stepp, Arthur Lance Springer, John Hans Van Arkel
  • Publication number: 20110107421
    Abstract: An approach provides detection of unauthorized use of data services. A determination is made as to whether connections supporting remote access to a data network are completed. The number of completed connections associated with a selected attribute is tracked over a time period. It is then determined whether the number of completed connections satisfies a connection frequency threshold. A fraud alert is generated if the connection frequency threshold is satisfied.
    Type: Application
    Filed: January 11, 2011
    Publication date: May 5, 2011
    Applicant: Verizon Business Global LLC
    Inventors: Saralyn M. Mahone, Matthew J. Gilbert, Thomas E. Stepp, Arthur L. Springer, John Hans Van Arkel
  • Patent number: 7817791
    Abstract: An approach provides fraud detection in support of data communication services. A list of single-event attributes (e.g., hot or cold attributes) is generated and includes a network address of an end user host originating a data call or a calling party identification (e.g., Automatic Number Identification (ANI) or an originating Calling Line Identification (CLI)) for network access, wherein entries of the list specify values of the hot attributes. An attribute value associated with the data call is compared with the entries. A fraud alert is generated if the attribute value matches one of the entries.
    Type: Grant
    Filed: May 31, 2005
    Date of Patent: October 19, 2010
    Assignee: Verizon Business Global LLC
    Inventors: Saralyn M. Mahone, Matthew J. Gilbert, Thomas E. Stepp, Arthur L. Springer, John Hans Van Arkel
  • Patent number: 7783019
    Abstract: An approach provides fraud detection in support of data communication services. A threshold corresponding to a geographic location is set. The threshold corresponds to duration of a call supporting data communications. It is determined whether the call duration exceeds the threshold. A fraud alert is generated if the monitored call duration exceeds the threshold.
    Type: Grant
    Filed: May 31, 2005
    Date of Patent: August 24, 2010
    Assignee: Verizon Business Global LLC
    Inventors: Saralyn M. Mahone, Matthew J. Gilbert, Thomas E. Stepp, Arthur L. Springer, John Hans Van Arkel
  • Patent number: 7774842
    Abstract: An approach provides detection of unauthorized use of data services. A fraud case is created for a data call that is determined to be potentially fraudulent based on a fraud alert. A fraud score is determined for the case according to the fraud alert. The fraud score is adjusted according to adjustment criteria including an intermediate network involved with the data call, and an originating country of the data call.
    Type: Grant
    Filed: May 31, 2005
    Date of Patent: August 10, 2010
    Assignee: Verizon Business Global LLC
    Inventors: Saralyn M. Mahone, Matthew J. Gilbert, Thomas E. Stepp, Arthur L. Springer, John Hans Van Arkel
  • Publication number: 20100080372
    Abstract: An approach provides fraud detection in support of data communication services. A list of single-event attributes (e.g., hot or cold attributes) is generated and includes a network address of an end user host originating a data call or a calling party identification (e.g., Automatic Number Identification (ANI) or an originating Calling Line Identification (CLI)) for network access, wherein entries of the list specify values of the hot attributes. An attribute value associated with the data call is compared with the entries. A fraud alert is generated if the attribute value matches one of the entries.
    Type: Application
    Filed: December 8, 2009
    Publication date: April 1, 2010
    Applicant: VERIZON PATENT AND LICENSING INC.
    Inventors: Saralyn M. Mahone, Matthew J. Gilbert, Thomas E. Stepp, Arthur L. Springer, John Hans Van Arkel
  • Publication number: 20090129573
    Abstract: A system, method and computer program product for processing event records. The present invention includes a detection layer, an analysis layer, an expert systems layer and a presentation layer. The layered system includes a core infrastructure and a configurable, domain-specific implementation. The detection layer employs one or more detection engines, such as, for example, a rules-based thresholding engine and a profiling engine. The detection layer can include an AI-based pattern recognition engine for analyzing data records, for detecting new and interesting patterns and for updating the detection engines to insure that the detection engines can detect the new patterns. In one embodiment, the present invention is implemented as a telecommunications fraud detection system. When fraud is detected, the detection layer generates alarms which are sent to the analysis layer. The analysis layer filters and consolidates the alarms to generate fraud cases.
    Type: Application
    Filed: August 18, 2008
    Publication date: May 21, 2009
    Applicant: MCI COMMUNICATIONS CORPORATION
    Inventors: John Gavan, Kevin Paul, Jim Richards, Charles A. Dallas, Hans Van Arkel, Cheryl Herrington, Saralyn Mahone, Terrill J. Curtis, James J. Wagner
  • Patent number: 7433855
    Abstract: A system, method and computer program product for processing event records. The present invention includes a detection layer, an analysis layer, an expert systems layer and a presentation layer. The layered system includes a core infrastructure and a configurable, domain-specific implementation. The detection layer employs one or more detection engines, such as, for example, a rules-based thresholding engine and a profiling engine. The detection layer can include an AI-based pattern recognition engine for analyzing data records, for detecting new and interesting patterns and for updating the detection engines to insure that the detection engines can detect the new patterns. In one embodiment, the present invention is implemented as a telecommunications fraud detection system. When fraud is detected, the detection layer generates alarms which are sent to the analysis layer. The analysis layer filters and consolidates the alarms to generate fraud cases.
    Type: Grant
    Filed: July 24, 2003
    Date of Patent: October 7, 2008
    Assignee: MCI Communications Corporation
    Inventors: John Gavan, Kevin Paul, Jim Richards, Charles A Dallas, Hans Van Arkel, Cheryl Herrington, Saralyn Mahone, Terrell J Curtis, James J Wagner
  • Patent number: 7403931
    Abstract: A data processing system program to develop, train, and implement a neural network for identifying customers who represent a bad debt risk is disclosed. A feature vector is applied to a neural network to generate outputs that approximate the relative likelihood that customers who are the subjects of the records used to generate the feature vector will be a bad debt risk. Statistical values relating categorical attributes of the customers to the likelihood of their becoming a bad debt risk are substituted for the categorical attributes, and the attributes are normalized before the feature vector is applied to the network. In one embodiment the customers are customers of a long distance service provider.
    Type: Grant
    Filed: September 18, 2006
    Date of Patent: July 22, 2008
    Assignee: Verizon Business Global LLC
    Inventors: Mohammad Reza Tayebnejad, Karl Aric Van Camp, Charles Alan Dallas, John Hans Van Arkel
  • Patent number: 7197560
    Abstract: A fraud monitoring system is disclosed for a communications system. The fraud monitoring system analyzes records of usage activity in the system and applies fraud pattern detection algorithms to detect patterns indicative of fraud. The fraud monitoring system advantageously accommodates transaction both records resulting from control of a packet-switched network and those from a circuit-switched network gateway.
    Type: Grant
    Filed: March 20, 2002
    Date of Patent: March 27, 2007
    Assignee: MCI, LLC
    Inventors: Michael Caslin, John Hans Van Arkel, Arthur Lance Springer
  • Patent number: 7117191
    Abstract: A system, method and computer program product for processing event records. The present invention includes a detection layer, an analysis layer, an expert systems layer and a presentation layer. The layered system includes a core infrastructure and a configurable, domain-specific implementation. The detection layer employs one or more detection engines, such as a rules-based thresholding engine and a profiling engine. The detection layer can include an Artificial Intelligence based pattern recognition engine for analyzing data records, for detecting new and interesting patterns and for updating the detection engines to insure that the detection engines can detect the new patterns. In one embodiment, the present invention is implemented as a telecommunications fraud detection system. When fraud is detected, the detection layer generates alarms which are sent to the analysis layer. The analysis layer filters and consolidates the alarms to generate fraud cases.
    Type: Grant
    Filed: September 8, 2003
    Date of Patent: October 3, 2006
    Assignee: MCI, Inc.
    Inventors: John Gavan, Kevin Paul, Jim Richards, Charles A. Dallas, Hans Van Arkel, Cheryl Herrington, Saralyn M. Mahone, Terrill J. Curtis, James J. Wagner
  • Patent number: 7113932
    Abstract: A data processing system program to develop, train, and implement a neural network for identifying customers who represent a bad debt risk is disclosed. A feature vector is applied to a neural network to generate outputs that approximate the relative likelihood that customers who are the subjects of the records used to generate the feature vector will be a bad debt risk. Statistical values relating categorical attributes of the customers to the likelihood of their becoming a bad debt risk are substituted for the categorical attributes, and the attributes are normalized before the feature vector is applied to the network. In one embodiment the customers are customers of a long distance service provider.
    Type: Grant
    Filed: January 10, 2002
    Date of Patent: September 26, 2006
    Assignee: MCI, LLC
    Inventors: Mohammad Reza Tayebnejad, Karl Aric Van Camp, Charles Alan Dallas, John Hans Van Arkel