Patents by Inventor Hiram Lew

Hiram Lew 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: 11170101
    Abstract: Systems and methods observe and classify device events. A model containing a set of features to be observed can be determined based on machine learning and training methods. A client application can issue a transaction request to an operating system service. A determination can be made whether the operating system service, a method associated with the transaction request, and the client application are currently being observed. In response to determining that the operating system service, a method associated with the transaction request, and the client application are being observed, a behavioral vector associated with the client application can be modified to indicate that the feature represented by the method is associated with the client application. The behavioral vector can be used to determine if the client application is malware.
    Type: Grant
    Filed: November 25, 2019
    Date of Patent: November 9, 2021
    Assignee: Avast Software s.r.o.
    Inventors: Hiram Lew, Filip Havlí{hacek over (c)}ek, Pablo Sole, Tomá{hacek over (s)} Pop
  • Publication number: 20200089875
    Abstract: Systems and methods observe and classify device events. A model containing a set of features to be observed can be determined based on machine learning and training methods. A client application can issue a transaction request to an operating system service. A determination can be made whether the operating system service, a method associated with the transaction request, and the client application are currently being observed. In response to determining that the operating system service, a method associated with the transaction request, and the client application are being observed, a behavioral vector associated with the client application can be modified to indicate that the feature represented by the method is associated with the client application. The behavioral vector can be used to determine if the client application is malware.
    Type: Application
    Filed: November 25, 2019
    Publication date: March 19, 2020
    Inventors: Hiram Lew, Filip Havlícek, Pablo Sole, Tomás Pop
  • Publication number: 20190102543
    Abstract: Systems and methods observe and classify device events. A model containing a set of features to be observed can be determined based on machine learning and training methods. A client application can issue a transaction request to an operating system service. A determination can be made whether the operating system service, a method associated with the transaction request, and the client application are currently being observed. In response to determining that the operating system service, a method associated with the transaction request, and the client application are being observed, a behavioral vector associated with the client application can be modified to indicate that the feature represented by the method is associated with the client application. The behavioral vector can be used to determine if the client application is malware.
    Type: Application
    Filed: September 25, 2018
    Publication date: April 4, 2019
    Inventors: Hiram Lew, Filip Havlícek, Pablo Sole, Tomás Pop