Patents by Inventor Sherin Mary Mathews

Sherin Mary Mathews 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).

  • Publication number: 20210019403
    Abstract: There is disclosed in one example a computer-implemented anti-ransomware method, including: selecting a file for inspection; assigning the file to a type class according to a file type identifier; receiving an expected byte correlation for the type class; computing, according to a byte distribution of the file, a byte correlation for the file; comparing, via statistical analysis, the byte correlation to the expected byte correlation; and determining that the file has been compromised, including determining that the file has a byte correlation that deviates from the expected byte correlation by more than a threshold, taking a ransomware remediation action for the file.
    Type: Application
    Filed: October 5, 2020
    Publication date: January 21, 2021
    Applicant: McAfee, LLC
    Inventors: Kunal Mehta, Sherin Mary Mathews, Carl D. Woodward, Celeste R. Fralick, Jonathan B. King
  • Patent number: 10795994
    Abstract: There is disclosed in one example a ransomware mitigation engine, including: a processor; a convolutional neural network configured to provide file type identification (FTI) services including: identifying an access operation of a file as a write to the file or newly creating the file; computing a byte correlation factor for the file; classifying the file as belonging to a file type; determining with a screening confidence that the file type is correct for the file; determining that the screening confidence is below a screening confidence threshold; and circuitry and logic to provide heuristic analysis including: receiving notification that the confidence is below the confidence threshold; performing a statistical analysis of the file to determine a difference between an expected value and a computed value; determining from the difference, with a detection confidence, that the file has been compromised; and identifying the file as having been compromised by a ransomware attack.
    Type: Grant
    Filed: September 26, 2018
    Date of Patent: October 6, 2020
    Assignee: McAfee, LLC
    Inventors: Kunal Mehta, Sherin Mary Mathews, Carl D. Woodward, Celeste R. Fralick, Jonathan B. King
  • Publication number: 20200097653
    Abstract: There is disclosed in one example a ransomware mitigation engine, including: a processor; a convolutional neural network configured to provide file type identification (FTI) services including: identifying an access operation of a file as a write to the file or newly creating the file; computing a byte correlation factor for the file; classifying the file as belonging to a file type; determining with a screening confidence that the file type is correct for the file; determining that the screening confidence is below a screening confidence threshold; and circuitry and logic to provide heuristic analysis including: receiving notification that the confidence is below the confidence threshold; performing a statistical analysis of the file to determine a difference between an expected value and a computed value; determining from the difference, with a detection confidence, that the file has been compromised; and identifying the file as having been compromised by a ransomware attack.
    Type: Application
    Filed: September 26, 2018
    Publication date: March 26, 2020
    Inventors: Kunal Mehta, Sherin Mary Mathews, Carl D. Woodward, Celeste R. Fralick, Jonathan B. King