Patents by Inventor Santosh K. Aditham

Santosh K. Aditham 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).

  • Detecting threats in big data platforms based on call trace and memory access patterns
    Patent number: 11269990
    Abstract: A runtime attack can be detected on a big data system while processes are executed on various nodes. A behavior profile can be maintained for tasks or processes running on different nodes. The existence of a call variance in one of the traces for one of the behavior profiles can be determined. A memory variance can also be detected in one of the behavior profiles. A runtime attack has occurred when both the memory variance and the call variance are determined to exist.
    Type: Grant
    Filed: April 30, 2020
    Date of Patent: March 8, 2022
    Assignee: UNIVERSITY OF SOUTH FLORIDA
    Inventors: Santosh K. Aditham, Nagarajan Ranganathan
  • Detecting threats in big data platforms based on call trace and memory access patterns
    Patent number: 10678907
    Abstract: A runtime attack can be detected on a big data system while processes are executed on various computing devices. A behavior profile can be maintained for tasks or processes running on different computing devices. The existence of a call variance in one of the traces for one of the behavior profiles can be determined. A memory variance can also be detected in one of the behavior profiles. A runtime attack has occurred when both the memory variance and the call variance are determined to exist.
    Type: Grant
    Filed: January 26, 2018
    Date of Patent: June 9, 2020
    Assignee: University of South Florida
    Inventors: Santosh K. Aditham, Nagarajan Ranganathan
  • DETECTING THREATS IN BIG DATA PLATFORMS BASED ON CALL TRACE AND MEMORY ACCESS PATTERNS
    Publication number: 20180211033
    Abstract: A runtime attack can be detected on a big data system while processes are executed on various computing devices. A behavior profile can be maintained for tasks or processes running on different computing devices. The existence of a call variance in one of the traces for one of the behavior profiles can be determined. A memory variance can also be detected in one of the behavior profiles. A runtime attack has occurred when both the memory variance and the call variance are determined to exist.
    Type: Application
    Filed: January 26, 2018
    Publication date: July 26, 2018
    Applicant: University of South Florida
    Inventors: Santosh K. Aditham, Nagarajan Ranganathan