Patents by Inventor Yaniv Arthur Baruch Meller

Yaniv Arthur Baruch Meller 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: 9721253
    Abstract: Various forms of information are utilized in a system and accompanying method for making inferences regarding the trustworthiness of a person performing an online transaction and deciding whether to allow the transaction to have material implications. More specifically, the information relates to the online browsing activity of a user and the online transaction being performed by the user. Further, information regarding certain probable characteristics of the user is determined based on a possible association between the user and one or more known entities. Based on the foregoing information, model attributes are derived and provided as input to a fraud determination model. Using this model and one or more of the attributes, a probability that the transaction is fraudulent is determined.
    Type: Grant
    Filed: January 8, 2016
    Date of Patent: August 1, 2017
    Assignee: Forter Ltd.
    Inventors: Iftah Gideoni, Ofir Reich, Yaniv Arthur Baruch Meller
  • Publication number: 20160328715
    Abstract: Various forms of information are utilized in a system and accompanying method for making inferences regarding the trustworthiness of a person performing an online transaction and deciding whether to allow the transaction to have material implications. More specifically, the information relates to the online browsing activity of a user and the online transaction being performed by the user. Further, information regarding certain probable characteristics of the user is determined based on a possible association between the user and one or more known entities. Based on the foregoing information, model attributes are derived and provided as input to a fraud determination model. Using this model and one or more of the attributes, a probability that the transaction is fraudulent is determined.
    Type: Application
    Filed: January 8, 2016
    Publication date: November 10, 2016
    Inventors: Iftah Gideoni, Ofir Reich, Yaniv Arthur Baruch Meller