Patents by Inventor David Felstead

David Felstead 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).

  • Identifying web pages in malware distribution networks
    Patent number: 10885190
    Abstract: Technologies pertaining to analyzing content extracted from web pages by a static crawler to determine whether respective web pages are members of a malware distribution network (MDN) are described. A set of features is learned based upon output of a dynamic crawler over known landing pages of a particular MDN, wherein the set of features are indicative of membership in the MDN. Using such set of features, additional members of the MDN (not subjected to crawling by a dynamic crawler) are identified.
    Type: Grant
    Filed: May 10, 2018
    Date of Patent: January 5, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Gang Wang, Jack W. Stokes, Cormac Herley, David Felstead
  • IDENTIFYING WEB PAGES IN MALWARE DISTRIBUTION NETWORKS
    Publication number: 20180260565
    Abstract: Technologies pertaining to analyzing content extracted from web pages by a static crawler to determine whether respective web pages are members of a malware distribution network (MDN) are described. A set of features is learned based upon output of a dynamic crawler over known landing pages of a particular MDN, wherein the set of features are indicative of membership in the MDN. Using such set of features, additional members of the MDN (not subjected to crawling by a dynamic crawler) are identified.
    Type: Application
    Filed: May 10, 2018
    Publication date: September 13, 2018
    Inventors: Gang Wang, Jack W. Stokes, Cormac Herley, David Felstead
  • Identifying web pages in malware distribution networks
    Patent number: 9977900
    Abstract: Technologies pertaining to analyzing content extracted from web pages by a static crawler to determine whether respective web pages are members of a malware distribution network (MDN) are described. A set of features is learned based upon output of a dynamic crawler over known landing pages of a particular MDN, wherein the set of features are indicative of membership in the MDN. Using such set of features, additional members of the MDN (not subjected to crawling by a dynamic crawler) are identified.
    Type: Grant
    Filed: December 27, 2012
    Date of Patent: May 22, 2018
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Gang Wang, Jack W. Stokes, Cormac Herley, David Felstead
  • IDENTIFYING WEB PAGES IN MALWARE DISTRIBUTION NETWORKS
    Publication number: 20140189864
    Abstract: Technologies pertaining to analyzing content extracted from web pages by a static crawler to determine whether respective web pages are members of a malware distribution network (MDN) are described. A set of features is learned based upon output of a dynamic crawler over known landing pages of a particular MDN, wherein the set of features are indicative of membership in the MDN. Using such set of features, additional members of the MDN (not subjected to crawling by a dynamic crawler) are identified.
    Type: Application
    Filed: December 27, 2012
    Publication date: July 3, 2014
    Applicant: MICROSOFT CORPORATION
    Inventors: Gang Wang, Jack W. Stokes, Cormac Herley, David Felstead