摘要
目前的用电信息采集系统攻击检测技术准确率较低、召回率较差。为解决上述问题,提出了基于模糊Petri网的用电信息采集系统攻击检测技术。通过监测系统所有活动,自动采集数据,完成数据的控制和分析,并通过构建基于模糊Petri网的用电信息采集系统攻击检测模型和K均值聚类算法检测系统攻击。实验结果表明,基于模糊Petri网的用电信息采集系统攻击检测技术能够有效提高检测准确率、提升召回率,对于电力领域的发展具有积极作用。
The current attack detection technology of electricity information acquisition system has low accuracy and poor recall rate.In order to solve the above problems,the attack detection technology of electricity information acquisition system based on fuzzy Petri net is proposed.Though monitor all activities of the system,collect data automatically,complete the control and analysis of data,and build the attack detection model of electricity information acquisition system based on fuzzy Petri net and K means clustering algorithm to detect system attacks.The experimental results show that the attack detection technology of electricity information acquisition system based on fuzzy Petri net can effectively improve the detection accuracy and recall rate,which plays a positive role in the development of the electric power field.
作者
曹华锋
石家乐
张建平
井含香
CAO Huafeng;SHI Jiale;ZHANG Jianping;JING Hanxiang(State Grid Gansu Electric Power Company Marketing Department,Lanzhou 730000,China;State Grid Tianshui Power Supply Company,Tianshui 741000,China;State Grid Dingxi Power Supply Company,Dingxi 743000,China)
出处
《电子设计工程》
2022年第10期105-108,119,共5页
Electronic Design Engineering
关键词
模糊PETRI网
用电信息
采集系统
攻击检测
fuzzy Petri net
electricity consumption information
collection system
attack detection
作者简介
曹华锋(1990-),男,山东泰安人,硕士研究生,工程师。研究方向:电能量采集。
