Security attack detection algorithm for electric power gis system based on mobile application

International Symposium on Resource Exploration and Environmental Science

地球科学;生态环境科学

Zhou, Chao^1 ; Feng, Renjun^2 ; Wang, Liming^1 ; Huang, Wei^1 ; Guo, Yajuan^1

State Grid Jiangsu Electric Power Research Institute, Nanjing

211100, China^1

State Grid Suzhou Power Supply Company, Suzhou

215004, China^2

关键词: Detection methods;    Electric power industries;    Mobile applications;    Power distribution managements;    Prevention strategies;    Recent researches;    Routine detections;    Sustainable power;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/64/1/012101/pdf
DOI  :  10.1088/1755-1315/64/1/012101

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Electric power GIS is one of the key information technologies to satisfy the power grid construction in China, and widely used in power grid construction planning, weather, and power distribution management. The introduction of electric power GIS based on mobile applications is an effective extension of the geographic information system that has been widely used in the electric power industry. It provides reliable, cheap and sustainable power service for the country. The accurate state estimation is the important conditions to maintain the normal operation of the electric power GIS. Recent research has shown that attackers can inject the complex false data into the power system. The injection attack of this new type of false data (load integrity attack LIA) can successfully bypass the routine detection to achieve the purpose of attack, so that the control center will make a series of wrong decision. Eventually, leading to uneven distribution of power in the grid. In order to ensure the safety of the electric power GIS system based on mobile application, it is very important to analyze the attack mechanism and propose a new type of attack, and to study the corresponding detection method and prevention strategy in the environment of electric power GIS system based on mobile application.