Patents by Inventor Siyu CHENG

Siyu CHENG 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 device for detecting security based on machine learning in combination with rule matching
    Patent number: 12184672
    Abstract: A method for detecting security based on machine learning in combination with rule matching is provided, including: establishing a machine learning model; training the machine learning model by using a labeled legal traffic and a labeled malicious traffic; collecting a network traffic; preprocessing the collected network traffic; detecting a malicious traffic from the preprocessed network traffic by using a rule-matching-based method; identifying a malicious traffic from the preprocessed network traffic by using the trained machine learning model, including: extracting a feature of the preprocessed network traffic, and identifying the malicious traffic based on the extracted feature by using the trained machine learning model; and integrating the malicious traffic detected by the rule-matching-based method and the malicious traffic identified by the trained machine learning model.
    Type: Grant
    Filed: March 18, 2020
    Date of Patent: December 31, 2024
    Assignee: UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
    Inventors: Xiaofeng Jiang, Siyu Cheng, Jian Yang, Xiaobin Tan, Yongdong Zhang
  • METHOD AND DEVICE FOR DETECTING SECURITY BASED ON MACHINE LEARNING IN COMBINATION WITH RULE MATCHING
    Publication number: 20220368703
    Abstract: A method for detecting security based on machine learning in combination with rule matching is provided, including: establishing a machine learning model; training the machine learning model by using a labeled legal traffic and a labeled malicious traffic; collecting a network traffic; preprocessing the collected network traffic; detecting a malicious traffic from the preprocessed network traffic by using a rule-matching-based method; identifying a malicious traffic from the preprocessed network traffic by using the trained machine learning model, including: extracting a feature of the preprocessed network traffic, and identifying the malicious traffic based on the extracted feature by using the trained machine learning model; and integrating the malicious traffic detected by the rule-matching-based method and the malicious traffic identified by the trained machine learning model.
    Type: Application
    Filed: March 18, 2020
    Publication date: November 17, 2022
    Applicant: UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
    Inventors: Xiaofeng JIANG, Siyu CHENG, Jian YANG, Xiaobin TAN, Yongdong ZHANG