Laser Journal, Volume. 45, Issue 6, 190(2024)

Security domain partition method for ultra-large capacity optical fiber communication network

ZHANG Zhihua... HOU Xiaolei and ZHANG Junjun |Show fewer author(s)
Author Affiliations
  • Institute of Information Engineering, School of Zhengzhou Industrial Technology, Zhengzhou 451150, China
  • show less

    The distribution of nodes in ultra large capacity fiber optic communication networks is relatively chaotic, and the correlation between nodes is complex, resulting in low accuracy in security domain division, seriously threatening the security of fiber optic communication networks. To this end, a security domain partitioning method for ultra large capacity fiber optic communication networks is proposed. According to the fiber optic network environment, the K-means algorithm is used to set the initial security center value, calculate the distance between the representative sample value in each region and this value, and solve for the average standard values of the maximum distance and the shortest distance. On this basis, the particle swarm separation method is used to identify intrusion signals, and the changes in membership values between each node and the set local area are calculated separately under normal and presence of intrusion particle interference, in order to determine the phase difference of the signal. Based on the correlation value between nodes, the node area that matches the dissimilarity inverse vector is divided to complete the security domain division. The experimental results show that the proposed method has high accuracy in partitioning, and after the implementation of the algorithm, the number of nodes participating in attack events significantly decreases, and network security is strengthened.

    Tools

    Get Citation

    Copy Citation Text

    ZHANG Zhihua, HOU Xiaolei, ZHANG Junjun. Security domain partition method for ultra-large capacity optical fiber communication network[J]. Laser Journal, 2024, 45(6): 190

    Download Citation

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

    Category:

    Received: Oct. 15, 2023

    Accepted: Nov. 26, 2024

    Published Online: Nov. 26, 2024

    The Author Email:

    DOI:10.14016/j.cnki.jgzz.2024.06.190

    Topics