Patents by Inventor Muhammad Qasim Ali

Muhammad Qasim Ali 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 system for adaptive anomaly-based intrusion detection
    Patent number: 8800036
    Abstract: The input characteristics of a real-time IDS change continuously with time therefore setting a rigid (time and behavior invariant) classification threshold limits the accuracy that the IDS can potentially achieve. A generic threshold tuning method and system is proposed which can adaptively tune the detection threshold of a real-time IDS in accordance with varying host and network behavior. The method and system perform statistical and information-theoretic analysis of network and host-based IDSs' anomaly based intrusions to reveal a consistent time correlation structure between benign activity periods which is used to predict future anomaly scores and to adapt an IDS' detection threshold accordingly.
    Type: Grant
    Filed: January 22, 2010
    Date of Patent: August 5, 2014
    Assignee: The School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST)
    Inventors: Syed Ali Khayam, Muhammad Qasim Ali
  • Method and system for adaptive anomaly-based intrusion detection
    Publication number: 20110185422
    Abstract: The input characteristics of a real-time IDS change continuously with time therefore setting a rigid (time and behavior invariant) classification threshold limits the accuracy that the IDS can potentially achieve. A generic threshold tuning method and system is proposed which can adaptively tune the detection threshold of a real-time IDS in accordance with varying host and network behavior. The method and system perform statistical and information-theoretic analyses of network and host-based IDSs' anomaly based intrusions to reveal a consistent time correlation structure between benign activity periods which is used to predict future anomaly scores and to adapt an IDS' detection threshold accordingly.
    Type: Application
    Filed: January 22, 2010
    Publication date: July 28, 2011
    Applicants: and Technology (NUST)
    Inventors: Syed Ali Khayam, Muhammad Qasim Ali