Patents by Inventor Michael Iles

Michael Iles 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: 11218487
    Abstract: Predictive entity resolution uses a set of identity models to resolve an attribute to one or more associated entities, possibly with respective probabilities, at a particular time. The predictive entity resolution generates the sets of identity models from evidence events received from evidence sources. Each evidence event has at least one attribute and an associated time stamp.
    Type: Grant
    Filed: August 29, 2019
    Date of Patent: January 4, 2022
    Assignee: INTERSET SOFTWARE, INC.
    Inventors: Michael Iles, Stephan Jou
  • Patent number: 10754983
    Abstract: Sensitive data may be anonymized for use in user interfaces by applying a cryptographic hash function to the data. The hashed value may be broken into hash tokens and the hash tokens converted to human readable tokens using a 1:1 conversion function. The human readable tokens can then be concatenated together to provide a human readable identifier of the sensitive data.
    Type: Grant
    Filed: March 31, 2017
    Date of Patent: August 25, 2020
    Assignee: Interset Software Inc.
    Inventors: Josh Christopher Tyler Mahonin, Michael John Cyze, Michael Iles, Shaun Pilkington, Wesley Lawrence, Stephan Jou
  • Publication number: 20180285597
    Abstract: Sensitive data may be anonymized for use in user interfaces by applying a cryptographic hash function to the data. The hashed value may be broken into hash tokens and the hash tokens converted to human readable tokens using a 1:1 conversion function. The human readable tokens can then be concatenated together to provide a human readable identifier of the sensitive data.
    Type: Application
    Filed: March 31, 2017
    Publication date: October 4, 2018
    Inventors: Josh Christopher Tyler MAHONIN, Michael John CYZE, Michael ILES, Shaun PILKINGTON, Wesley LAWRENCE, Stephan JOU
  • Publication number: 20070239819
    Abstract: A system and method allowing engineers to create large scale, consumer oriented, distributed applications that utilize peer to peer messaging patterns and service oriented architectures. Applications built using the method produce operational cost curves typical of successful peer to peer systems. The system includes mechanisms to deal with reliably and securely sending messages over consumer grade networks that are inherently unreliable and insecure while still permitting direct, consumer-to-consumer messaging by virtue of an extensible Network Address Translation traversal strategy. The system and method allows for the creation of consumer applications by facilitating the identification, location and assembly of services running in a network on a plurality of devices. While the application of the system and method to the distribution of large digital media is readily apparent, the system and method is, in no way, limited to this domain.
    Type: Application
    Filed: October 6, 2006
    Publication date: October 11, 2007
    Inventors: Steven Woods, David Simons, Kelly Slough, Michael Iles, Patrick McMorris, Steven Jeromy Carriere