Patents by Inventor Gao Xia

Gao Xia 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: 8522348
    Abstract: Systems, methods, and apparatus are provided for vulnerability signature based Network Intrusion Detection and/or Prevention which achieves high throughput comparable to that of the state-of-the-art regex-based systems while offering improved accuracy. A candidate selection algorithm efficiently matches thousands of vulnerability signatures simultaneously using a small amount of memory. A parsing transition state machine achieves fast protocol parsing. Certain examples provide a computer-implemented method for network intrusion detection. The method includes capturing a data message and invoking a protocol parser to parse the data message. The method also includes matching the parsed data message against a plurality of vulnerability signatures in parallel using a candidate selection algorithm and detecting an unwanted network intrusion based on an outcome of the matching.
    Type: Grant
    Filed: July 29, 2010
    Date of Patent: August 27, 2013
    Assignee: Northwestern University
    Inventors: Yan Chen, Zhichun Li, Gao Xia, Bin Liu
  • Publication number: 20110030057
    Abstract: Systems, methods, and apparatus are provided for vulnerability signature based Network Intrusion Detection and/or Prevention which achieves high throughput comparable to that of the state-of-the-art regex-based systems while offering improved accuracy. A candidate selection algorithm efficiently matches thousands of vulnerability signatures simultaneously using a small amount of memory. A parsing transition state machine achieves fast protocol parsing. Certain examples provide a computer-implemented method for network intrusion detection. The method includes capturing a data message and invoking a protocol parser to parse the data message. The method also includes matching the parsed data message against a plurality of vulnerability signatures in parallel using a candidate selection algorithm and detecting an unwanted network intrusion based on an outcome of the matching.
    Type: Application
    Filed: July 29, 2010
    Publication date: February 3, 2011
    Applicant: NORTHWESTERN UNIVERSITY
    Inventors: Yan Chen, Zhichun Li, Gao Xia, Bin Liu