Patents by Inventor Abhijit V. Limaye

Abhijit V. Limaye 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).

  • Method and Apparatus for Intelligent Aggregation of Threat Behavior for the Detection of Malware
    Publication number: 20180316694
    Abstract: Embodiments disclosed herein are directed to intelligent malware detection. A scanner server is used to scan an endpoint device for malware. Various attributes and behaviors of the endpoint device are identified in retrieved scan data. Identified attributes and behaviors are then evaluated according to a malware detection framework, which is used to determine whether (as well as to what extent) the identified attributes and behaviors are indicative of malware. In this manner, potential security risks associated with the malware may be identified. The framework is constructed through a machine learning process that aggregates attributes and behaviors common amongst members of malware families. Advantageously, the framework enables the scanner server to detect unknown variants of known malware families.
    Type: Application
    Filed: April 28, 2017
    Publication date: November 1, 2018
    Applicant: Qualys, Inc.
    Inventors: Sumedh Thakar, Ankur S. Tyagi, Abhijit V. Limaye
  • Method and apparatus for intelligent aggregation of threat behavior for the detection of malware
    Patent number: 10104101
    Abstract: Embodiments disclosed herein are directed to intelligent malware detection. A scanner server is used to scan an endpoint device for malware. Various attributes and behaviors of the endpoint device are identified in retrieved scan data. Identified attributes and behaviors are then evaluated according to a malware detection framework, which is used to determine whether (as well as to what extent) the identified attributes and behaviors are indicative of malware. In this manner, potential security risks associated with the malware may be identified. The framework is constructed through a machine learning process that aggregates attributes and behaviors common amongst members of malware families. Advantageously, the framework enables the scanner server to detect unknown variants of known malware families.
    Type: Grant
    Filed: April 28, 2017
    Date of Patent: October 16, 2018
    Assignee: Qualys, Inc.
    Inventors: Sumedh S. Thakar, Ankur S. Tyagi, Abhijit V. Limaye