Patents by Inventor You Chang

You Chang 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).

  • Patent number: 12598200
    Abstract: A method for detecting abnormal network data includes performing feature extraction on a network data packet according to each of plural protocol types, and generating a corresponding data packet fingerprint set. The data packet fingerprint set includes one or more data packet fingerprints, each of the one or more data packet fingerprints corresponding to one of the plural protocol types. The method further includes matching at least one data packet fingerprint in the data packet fingerprint set and a reference data packet fingerprint in a reference data packet fingerprint library, and calculating a confidence corresponding to the network data packet based on confidence correlation information corresponding to each of the at least one matched data packet fingerprint. The method also includes obtaining a reference confidence, and determining an abnormality detection result of the network data packet based on the reference confidence and the calculated confidence.
    Type: Grant
    Filed: November 28, 2022
    Date of Patent: April 7, 2026
    Assignee: Tencent Technology (Shenzhen) Company Limited
    Inventors: Jing Peng, Yong Yang, Xiang Gan, Xing Zheng, Aisi Xu, Shanshan Hua, Jing Guo, You Chang, Yuhe Fan, Wentao Tang, Junli Shen, Shu He, Yue Wang, Yu Liu
  • Publication number: 20230089187
    Abstract: A method for detecting abnormal network data includes performing feature extraction on a network data packet according to each of plural protocol types, and generating a corresponding data packet fingerprint set. The data packet fingerprint set includes one or more data packet fingerprints, each of the one or more data packet fingerprints corresponding to one of the plural protocol types. The method further includes matching at least one data packet fingerprint in the data packet fingerprint set and a reference data packet fingerprint in a reference data packet fingerprint library, and calculating a confidence corresponding to the network data packet based on confidence correlation information corresponding to each of the at least one matched data packet fingerprint. The method also includes obtaining a reference confidence, and determining an abnormality detection result of the network data packet based on the reference confidence and the calculated confidence.
    Type: Application
    Filed: November 28, 2022
    Publication date: March 23, 2023
    Applicant: Tencent Technology (Shenzhen) Company Limited
    Inventors: Jing PENG, Yong YANG, Xiang GAN, Xing ZHENG, Aisi XU, Shanshan HUA, Jing GUO, You CHANG, Yuhe FAN, Wentao TANG, Junli SHEN, Shu HE, Yue WANG, Yu LIU
  • Publication number: 20060153045
    Abstract: The present invention provides an optical head with a single or multiple sub-wavelength light beams, which can be used in arenas such as photolithography, optical storage, optical microscopy, to name a few. The present invention includes a transparent substrate, a thin film, and a surface structure with sub-wavelength surface profile. The incident light transmits through the transparent substrate, forms a surface plasma wave along the sub-wavelength aperture located within the thin film, and finally re-emits through spatial coupling with the sub-wavelength profile of the surface structure. As the coupled re-emitting light beam or light beams can maintain the waist less than that of the diffraction limit for a few micrometers out of the surface with sub-wavelength profile in many cases, this invention can have applications ranging from micro or nano manufacturing, metrology, and manipulation by using light beams with waist smaller than the diffraction limit.
    Type: Application
    Filed: June 24, 2004
    Publication date: July 13, 2006
    Applicant: Chih-Kung Lee
    Inventors: Chih Lee, Liang Yu, Jiunn Liaw, Ding Lin, Jyi Yeh, Yu Chiu, Chun Chen, Chyan Wu, Chau Yeh, You Chang, Kuo Huang, Yi Chen, Yeong Wang