Patents by Inventor Kasun M. Samarasinghe

Kasun M. Samarasinghe 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).

  • SYSTEMS AND METHODS FOR FACILITATING RECOGNITION OF A DEVICE AND/OR AN INSTANCE OF AN APP INVOKED ON A DEVICE
    Publication number: 20220335341
    Abstract: A system of classifying devices and/or app instances a new or returning divides attributes generated from observations received from an uncharacterized device/software app into base-fingerprint attributes and predictor attributes, where the two kinds of attributes have different longevities. Predictor attribute tuples from attribute tuples having the same base fingerprint as the base fingerprint corresponding to the uncharacterized device/app, and the predictor attribute tuple corresponding to the uncharacterized device/app are analyzed using a machine learned predictor function to obtain a final fingerprint. Machine learning techniques such as logistic regression, support vector machine, and artificial neural network can provide a predictor function that can decrease the conflict rate of the final fingerprint and, hence, the utility thereof, without significantly affecting the accuracy of classification.
    Type: Application
    Filed: June 27, 2022
    Publication date: October 20, 2022
    Inventors: Glenn S. BENSON, Kasun M. SAMARASINGHE
  • Systems and methods for facilitating recognition of a device and/or an instance of an app invoked on a device
    Patent number: 11403563
    Abstract: A system of classifying devices and/or app instances a new or returning divides attributes generated from observations received from an uncharacterized device/software app into base-fingerprint attributes and predictor attributes, where the two kinds of attributes have different longevities. Predictor attribute tuples from attribute tuples having the same base fingerprint as the base fingerprint corresponding to the uncharacterized device/app, and the predictor attribute tuple corresponding to the uncharacterized device/app are analyzed using a machine learned predictor function to obtain a final fingerprint. Machine learning techniques such as logistic regression, support vector machine, and artificial neural network can provide a predictor function that can decrease the conflict rate of the final fingerprint and, hence, the utility thereof, without significantly affecting the accuracy of classification.
    Type: Grant
    Filed: October 19, 2016
    Date of Patent: August 2, 2022
    Assignee: Accertify, Inc.
    Inventors: Glenn S. Benson, Kasun M. Samarasinghe
  • SYSTEMS AND METHODS FOR FACILITATING RECOGNITION OF A DEVICE AND/OR AN INSTANCE OF AN APP INVOKED ON A DEVICE
    Publication number: 20180107924
    Abstract: A system of classifying devices and/or app instances a new or returning divides attributes generated from observations received from an uncharacterized device/software app into base-fingerprint attributes and predictor attributes, where the two kinds of attributes have different longevities. Predictor attribute tuples from attribute tuples having the same base fingerprint as the base fingerprint corresponding to the uncharacterized device/app, and the predictor attribute tuple corresponding to the uncharacterized device/app are analyzed using a machine learned predictor function to obtain a final fingerprint. Machine learning techniques such as logistic regression, support vector machine, and artificial neural network can provide a predictor function that can decrease the conflict rate of the final fingerprint and, hence, the utility thereof, without significantly affecting the accuracy of classification.
    Type: Application
    Filed: October 19, 2016
    Publication date: April 19, 2018
    Inventors: Glenn S. Benson, Kasun M. Samarasinghe