Patents by Inventor Liron Florens Ben Kimon

Liron Florens Ben Kimon 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).

  • System for detecting anomalous access to tables
    Patent number: 11537736
    Abstract: A system and method for detecting anomalous access to tables is described. A query for accessing a table from a requesting user is received. A set of users similar to the requesting user is determined. The probability that the requesting user should access the table is calculated. Whether the user should be accessing the table based on the calculated probability is determined.
    Type: Grant
    Filed: September 8, 2019
    Date of Patent: December 27, 2022
    Assignee: PayPal, Inc.
    Inventors: Liron Florens Ben Kimon, Yotam Perkal, Yuri Shafet
  • Transaction anomaly detection using artificial intelligence techniques
    Patent number: 11410047
    Abstract: Systems and methods for anomaly detection includes accessing first data comprising a plurality of historical reversion transactions. A plurality of legitimate transactions are determined from the plurality of historical reversion transactions. An autoencoder is trained using the plurality of legitimate transactions to generate a trained autoencoder capable of measuring a given transaction for similarity to the plurality of legitimate transactions. A first reconstructed transaction is generated by the trained autoencoder using a first transaction. The first transaction is determined to be anomalous based on a reconstruction difference between the first transaction and the first reconstructed transaction.
    Type: Grant
    Filed: December 31, 2018
    Date of Patent: August 9, 2022
    Assignee: PAYPAL, INC.
    Inventors: Liron Florens Ben Kimon, Michael Dymshits, Albert Zelmanovitch, Dan Ayash
  • SYSTEM FOR DETECTING ANOMALOUS ACCESS TO TABLES
    Publication number: 20210073409
    Abstract: A system and method for detecting anomalous access to tables is described. A query for accessing a table from a requesting user is received. A set of users similar to the requesting user is determined. The probability that the requesting user should access the table is calculated. Whether the user should be accessing the table based on the calculated probability is determined.
    Type: Application
    Filed: September 8, 2019
    Publication date: March 11, 2021
    Inventors: Liron Florens Ben Kimon, Yotam Perkal, Yuri Shafet
  • TRANSACTION ANOMALY DETECTION USING ARTIFICIAL INTELLIGENCE TECHNIQUES
    Publication number: 20200210849
    Abstract: Systems and methods for anomaly detection includes accessing first data comprising a plurality of historical reversion transactions. A plurality of legitimate transactions are determined from the plurality of historical reversion transactions. An autoencoder is trained using the plurality of legitimate transactions to generate a trained autoencoder capable of measuring a given transaction for similarity to the plurality of legitimate transactions. A first reconstructed transaction is generated by the trained autoencoder using a first transaction. The first transaction is determined to be anomalous based on a reconstruction difference between the first transaction and the first reconstructed transaction.
    Type: Application
    Filed: December 31, 2018
    Publication date: July 2, 2020
    Inventors: Liron Florens Ben Kimon, Michael Dymshits, Albert Zelmanovitch, Dan Ayash