Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Journal of Terahertz Science and Electronic Information Technology , Volume. 22, Issue 12, 1394(2024)

A multi-level threats traceability method for IoT environment based on deep learning and genetic algorithm

CAO Xinli1, YAN Jun2, SUN Ling3, and DING Xiaoling3
Author Affiliations
  • 1Maintenance Branch, State Grid Xinyuan Holding Co., Ltd., Beijing 100032, China
  • 2State Grid Xinyuan Holdings Co., Ltd., Beijing 100032, China
  • 3Xiamen Fujian Pumped Storage Co., Ltd., Xiamen Fujian 361100, China
    • show less
    AbstractGet PDF
    Figures&Tables (0)
    Equations (0)
    References (0)
    Tools
    Paper Information
    Topics
    Figures & Tables(0)
    Tools

    Get Citation

    Copy Citation Text

    CAO Xinli, YAN Jun, SUN Ling, DING Xiaoling. A multi-level threats traceability method for IoT environment based on deep learning and genetic algorithm[J]. Journal of Terahertz Science and Electronic Information Technology , 2024, 22(12): 1394

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category:

    Received: Sep. 28, 2023

    Accepted: Jan. 21, 2025

    Published Online: Jan. 21, 2025

    The Author Email:

    DOI:10.11805/tkyda2023285

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology