Title: Research on protection of vulnerable nodes in power communication network based on the model of invalid proximity of edge

Authors: Jie Zhou; Yingjie Jiang; Bintai Xu; Liang Ma; Xinquan Lv

Addresses: Information Telecommunications Company, State Grid Shandong Electric Power Company, Jinan, 250001, China ' Information Telecommunications Company, State Grid Shandong Electric Power Company, Jinan, 250001, China ' Information Telecommunications Company, State Grid Shandong Electric Power Company, Jinan, 250001, China ' Information Telecommunications Company, State Grid Shandong Electric Power Company, Jinan, 250001, China ' Information Telecommunications Company, State Grid Shandong Electric Power Company, Jinan, 250001, China

Abstract: In view of the weak reliability and poor anti-attack performance of vulnerable nodes in the current power communication network, this paper proposes a new method for vulnerability node protection of power communication network based on the model of invalid proximity of edge. This method is based on the index system analysis of the power system and power communication network, network transmission and physics to build vulnerability evaluation model of communication network. According to the time delay and bandwidth ratio, as well as the physical failure rate index in the process of edge traffic transmission, the network components, i.e., node and the invalid proximity of edge, are evaluated, and the final vulnerability evaluation value is obtained by combining the system loss degree after component failure. The experimental results show that the proposed method can effectively protect the vulnerable nodes of power communication network and has reliability.

Keywords: invalid proximity of edge; power communication network; vulnerability node; protection; index system analysis; network transmission and physics.

DOI: 10.1504/IJAACS.2021.10039897

International Journal of Autonomous and Adaptive Communications Systems, 2021 Vol.14 No.4, pp.354 - 370

Received: 22 Nov 2019
Accepted: 26 Mar 2020

Published online: 23 Nov 2021 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article