Patents by Inventor Deniz E. Celik

Deniz E. Celik 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).

  • Model based methodology for translating high-level cyber threat descriptions into system-specific actionable defense tactics
    Patent number: 12058167
    Abstract: A method, apparatus, and system provide the ability to act on cyber risks and reduce cyber attacks. System characteristics and system information for a cyber system are gathered. The system characteristics and system information are pre-processed to identify vulnerabilities that are relevant to the cyber system. A system model of a cyber environment is generated for the cyber system. One or more features are converted from cyber threat reports to one or more semantically relevant queries over the system model. The system model is reasoned over to generate one or more answers relevant to the one or more semantically relevant queries. Attack models are executed over the system model to generate actionable intelligence and reduce cyber attacks.
    Type: Grant
    Filed: August 23, 2022
    Date of Patent: August 6, 2024
    Assignee: CALIFORNIA INSTITUTE OF TECHNOLOGY
    Inventors: Kymie Tan, Jeremy L. Pecharich, Arun A. Viswanathan, Marc I. Pomerantz, Deniz E. Celik, Bryan Johnson, Brian Wright
  • MODEL BASED METHODOLOGY FOR TRANSLATING HIGH-LEVEL CYBER THREAT DESCRIPTIONS INTO SYSTEM-SPECIFIC ACTIONABLE DEFENSE TACTICS
    Publication number: 20230254335
    Abstract: A method, apparatus, and system provide the ability to act on cyber risks and reduce cyber attacks. System characteristics and system information for a cyber system are gathered. The system characteristics and system information are preprocessed to identify vulnerabilities that are relevant to the cyber system. A system model of a cyber environment is generated for the cyber system. One or more features are converted from cyber threat reports to one or more semantically relevant queries over the system model. The system model is reasoned over to generate one or more answers relevant to the one or more semantically relevant queries. Attack models are executed over the system model to generate actionable intelligence and reduce cyber attacks.
    Type: Application
    Filed: August 23, 2022
    Publication date: August 10, 2023
    Applicant: California Institute of Technology
    Inventors: Kymie Tan, Jeremy L. Pecharich, Arun A. Viswanathan, Marc I. Pomerantz, Deniz E. Celik, Bryan Johnson, Brian Wright
  • Model based methodology for translating high-level cyber threat descriptions into system-specific actionable defense tactics
    Patent number: 11425157
    Abstract: A method, apparatus, and system provide the ability to act on cyber risks and reduce cyber attacks. System characteristics and system information for a cyber system are gathered. The system characteristics and system information are pre-processed to identify vulnerabilities that are relevant to the cyber system. A system model of a cyber environment is generated for the cyber system. One or more features are converted from cyber threat reports to one or more semantically relevant queries over the system model. The system model is reasoned over to generate one or more answers relevant to the one or more semantically relevant queries. Attack models are executed over the system model to generate actionable intelligence and reduce cyber attacks.
    Type: Grant
    Filed: December 10, 2018
    Date of Patent: August 23, 2022
    Assignee: CALIFORNIA INSTITUTE OF TECHNOLOGY
    Inventors: Kymie Tan, Jeremy L. Pecharich, Arun A. Viswanathan, Marc I. Pomerantz, Deniz E. Celik, Bryan Johnson, Brian Wright
  • MODEL BASED METHODOLOGY FOR TRANSLATING HIGH-LEVEL CYBER THREAT DESCRIPTIONS INTO SYSTEM-SPECIFIC ACTIONABLE DEFENSE TACTICS
    Publication number: 20200067962
    Abstract: A method, apparatus, and system provide the ability to act on cyber risks and reduce cyber attacks. System characteristics and system information for a cyber system are gathered. The system characteristics and system information are pre-processed to identify vulnerabilities that are relevant to the cyber system. A system model of a cyber environment is generated for the cyber system. One or more features are converted from cyber threat reports to one or more semantically relevant queries over the system model. The system model is reasoned over to generate one or more answers relevant to the one or more semantically relevant queries. Attack models are executed over the system model to generate actionable intelligence and reduce cyber attacks.
    Type: Application
    Filed: December 10, 2018
    Publication date: February 27, 2020
    Applicant: California Institute of Technology
    Inventors: Kymie Tan, Jeremy L. Pecharich, Arun A. Viswanathan, Marc I. Pomerantz, Deniz E. Celik, Bryan Johnson, Brian Wright