Future of Information and Communication Conference (FICC) 2023
2-3 March 2023
Publication Links
IJACSA
Special Issues
Article Details
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Research on Quantitative Security Protection Technology of Distribution Automation Nodes based on Attack Tree
Digital Object Identifier (DOI) : 10.14569/IJACSA.2022.0131249
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 12, 2022.
Abstract: In order to improve the security of distribution automation system nodes and ensure the safe operation of distribution network, a quantitative security protection technology for distribution automation nodes based on attack tree is proposed. This paper analyzes the factors of node risk assessment of the distribution automation system, and through the evaluation and analysis of node vulnerabilities; it discovers the faulty nodes in the distribution automation system in advance. Based on the node vulnerability evaluation results of the distribution automation system, the risk of the distribution automation system is comprehensively evaluated using the attack tree. Establish the distribution network control model under network attack, locate the fault node, and use trusted computing technology to design trusted distribution terminals. When the amount of data is large, more effective symmetric encryption algorithm SM4 is required to achieve node security protection in the distribution network automation system. The experimental results show that the method has high fault node location accuracy, low reliability calculation time, and the distribution automation system network has certain robustness, which fully verifies the application effect of the method.
Keywords: Attack tree; security protection; risk assessment; fault node location; trusted computing; SM4 encryption algorithm
Yinfeng Han, Yong Tang, Xiaoping Kang, Hao Jiang and Xiaoyang Song, “Research on Quantitative Security Protection Technology of Distribution Automation Nodes based on Attack Tree” International Journal of Advanced Computer Science and Applications(IJACSA), 13(12), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0131249
@article{Han2022,
title = {Research on Quantitative Security Protection Technology of Distribution Automation Nodes based on Attack Tree},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0131249},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0131249},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {12},
author = {Yinfeng Han and Yong Tang and Xiaoping Kang and Hao Jiang and Xiaoyang Song}
}
