《无线互联科技》杂志社

Wireless Internet Technology Magazine Agency

关键词: 集成学习, 发电行业, 数字化转型, 信息, 安全, 风险, 预测

Abstract: In order to improve the level of information security protection in the power generation industry and ensure the safe and stable operation of the power grid, this paper uses integrated learning to carry out the research on the information security risk prediction model of the digital transformation of the power generation industry. Firstly, the paper identifies the information security risks of the digital transformation of the power generation industry, and determines the security risk level and priority. Secondly, from the original data of the digital transformation, the paper identifies and extracts the features that are useful for predicting information security risks. On this basis, the paper uses ensemble learning to contruct a risk prediction model, which makes a comprehensive prediction of potential information security risks. The experimental results show that the model shows obvious advantages in the risk prediction coverage, which reaches more than 98%, and improves the prediction ability of information security risk.

Key words: integrated learning, power generation industry, digital transformation, information, security, risk, forecast