Patents by Inventor Ethan Jacob HOLLAND

Ethan Jacob HOLLAND 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).

  • Uniform resource locator security analysis using malice patterns
    Patent number: 11379577
    Abstract: Cybersecurity enhancements help avoid malicious Uniform Resource Locators (URLs). Embodiments may reduce or eliminate reliance on subjective analysis or detonation virtual machines. URL substrings are automatically analyzed for maliciousness using malice patterns. Patterns may test counts, lengths, rarity, encodings, and other inherent aspects of URLs. URLs may be analyzed individually, or in groups to detect shared portions, or both. URL analysis may use or avoid machine learning, and may use or avoid lookups. Malice patterns may be used individually or in combinations to detect malicious URLs. Analysis results may enhance security through blocking use of suspect URLs, flagging them for further analysis, or allowing their validated use, for instance. Analysis results may also be fed back to further train a machine learning model or a statistical model.
    Type: Grant
    Filed: September 26, 2019
    Date of Patent: July 5, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Amar D. Patel, Ravi Chandru Shahani, Revanth Rameshkumar, Ethan Jacob Holland, Douglas J. Hines, Abhijeet Surendra Hatekar
  • UNIFORM RESOURCE LOCATOR SECURITY ANALYSIS USING MALICE PATTERNS
    Publication number: 20210097168
    Abstract: Cybersecurity enhancements help avoid malicious Uniform Resource Locators (URLs). Embodiments may reduce or eliminate reliance on subjective analysis or detonation virtual machines. URL substrings are automatically analyzed for maliciousness using malice patterns. Patterns may test counts, lengths, rarity, encodings, and other inherent aspects of URLs. URLs may be analyzed individually, or in groups to detect shared portions, or both. URL analysis may use or avoid machine learning, and may use or avoid lookups. Malice patterns may be used individually or in combinations to detect malicious URLs. Analysis results may enhance security through blocking use of suspect URLs, flagging them for further analysis, or allowing their validated use, for instance. Analysis results may also be fed back to further train a machine learning model or a statistical model.
    Type: Application
    Filed: September 26, 2019
    Publication date: April 1, 2021
    Inventors: Amar D. PATEL, Ravi Chandru SHAHANI, Revanth RAMESHKUMAR, Ethan Jacob HOLLAND, Douglas J. HINES, Abhijeet Surendra HATEKAR