Patents by Inventor Tianju SUI

Tianju SUI 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).

  • Two-dimensionality detection method for industrial control system attacks
    Patent number: 11657150
    Abstract: A two-dimensionality detection method for industrial control system attacks: collecting data; transmitting the data to a PLC and an embedded attack detection system; uploading, by the PLC, received data to an SCADA system; transmitting, by the SCADA system, the data to the embedded attack detection system after classifying and counting the data; before starting detection, directly reading, by the embedded attack detection system, the data measured by sensors; refining data association relationships and probability distribution characteristics of the sensors of normal operation to complete storage of health data model; after starting detection, in first dimensionality, comparing the data collected directly by the sensors with statistical data of the SCADA system to judge the attacked condition of the SCADA system, and in second dimensionality, comparing the characteristics of the data collected directly by the sensors and counted online with the health data model to judge the attacked condition of the sensors.
    Type: Grant
    Filed: August 12, 2022
    Date of Patent: May 23, 2023
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Tianju Sui, Qingfeng Liu, Ximing Sun
  • TWO-DIMENSIONALITY DETECTION METHOD FOR INDUSTRIAL CONTROL SYSTEM ATTACKS
    Publication number: 20230076346
    Abstract: A two-dimensionality detection method for industrial control system attacks: collecting data; transmitting the data to a PLC and an embedded attack detection system; uploading, by the PLC, received data to an SCADA system; transmitting, by the SCADA system, the data to the embedded attack detection system after classifying and counting the data; before starting detection, directly reading, by the embedded attack detection system, the data measured by sensors; refining data association relationships and probability distribution characteristics of the sensors of normal operation to complete storage of health data model; after starting detection, in first dimensionality, comparing the data collected directly by the sensors with statistical data of the SCADA system to judge the attacked condition of the SCADA system, and in second dimensionality, comparing the characteristics of the data collected directly by the sensors and counted online with the health data model to judge the attacked condition of the sensors.
    Type: Application
    Filed: August 12, 2022
    Publication date: March 9, 2023
    Inventors: Tianju SUI, Qingfeng LIU, Ximing SUN