计及小生境改进GEP算法的电网信息安全自动评估模型  

Grid information security automatic assessment model with improved GEP algorithm

作　　者：葛云龙 张旭东 卢潇潇 GE Yunlong;ZHANG Xudong;LU Xiaoxiao(State Grid Hebei Electric Power Co.,Ltd.,Shijiazhuang 050000,China;State Grid Hebei Marketing Service Center,Shijiazhuang 050000,China)

机构地区：[1]国网河北省电力有限公司,石家庄050000 [2]国网河北营销服务中心,石家庄050000

出　　处：《自动化与仪器仪表》2025年第1期253-257,共5页Automation & Instrumentation

摘　　要：针对传统安全评估模型预测当前电力营销信息安全风险准确性较低的问题,研究提出一种基于小生境改进基因表达式编程的信息安全自动评估模型。该模型首先通过小生境原理增加样本数据的多样性,加快模型的收敛速度;接着利用分辨函数对电力营销数据样本进行处理,降低样本特征维度;最后对电力营销数据的安全风险进行自动评估。通过实验结果证明,研究提出的方法能够满足电力营销信息安全评估的实际应用需求,并具有较高的实际应用价值和推广潜力。Aiming at the low accuracy of traditional security assessment models in predicting current power marketing information security risks,an information security automatic assessment model based on improved niche gene expression programming is proposed.Firstly,the model increases the diversity of sample data and speeds up the convergence of the model by means of the niche principle.Then,the power marketing data samples are processed with the resolution function to reduce the characteristic dimension of the samples.Finally,the safety risk of power marketing data is evaluated automatically.The experimental results show that the proposed method can meet the practical application requirements of power marketing information security assessment,and has high practical application value and promotion potential.

关 键 词：小生境 基因表达式编程 电网营销 风险评估 属性约简 

分 类 号：TM769[电气工程—电力系统及自动化] TP39[自动化与计算机技术—计算机应用技术]