Patents by Inventor Steven Richard White

Steven Richard White 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 detecting a presence of a computer virus
    Patent number: 5907834
    Abstract: A data string is a sequence of atomic units of data that represent information. In the context of computer data, examples of data strings include executable programs, data files, and boot records consisting of sequences of bytes, or text files consisting of sequences of bytes or characters. The invention solves the problem of automatically constructing a classifier of data strings, i.e., constructing a classifier which, given a string, determines which of two or more class labels should be assigned to it. From a set of (string, class-label) pairs, this invention provides an automated technique for extracting features of data strings that are relevant to the classification decision, and an automated technique for developing a classifier which uses those features to classify correctly the data strings in the original examples and, with high accuracy, classify correctly novel data strings not contained in the example set.
    Type: Grant
    Filed: March 18, 1996
    Date of Patent: May 25, 1999
    Assignee: International Business Machines Corporation
    Inventors: Jeffrey Owen Kephart, Gregory Bret Sorkin, Gerald James Tesauro, Steven Richard White
  • Adaptive statistical regression and classification of data strings, with application to the generic detection of computer viruses
    Patent number: 5675711
    Abstract: A data string is a sequence of atomic units of data that represent information. In the context of computer data, examples of data strings include executable programs, data files, and boot records consisting of sequences of bytes, or text files consisting of sequences of bytes or characters. The invention solves the problem of automatically constructing a classifier of data strings, i.e., constructing a classifier which, given a string, determines which of two or more class labels should be assigned to it. From a set of (string, class-label) pairs, this invention provides an automated technique for extracting features of data strings that are relevant to the classification decision, and an automated technique for developing a classifier which uses those features to classify correctly the data strings in the original examples and, with high accuracy, classify correctly novel data strings not contained in the example set.
    Type: Grant
    Filed: May 13, 1994
    Date of Patent: October 7, 1997
    Assignee: International Business Machines Corporation
    Inventors: Jeffrey Owen Kephart, Gregory Bret Sorkin, Gerald James Tesauro, Steven Richard White