摘要
电力物联网网关入侵检测方法由于检测数据预处理效果差,导致物联网的入侵检测效果不佳,文章提出基于区块链技术的电力物联网网关入侵检测方法。通过特征选择、特征降维、属性规范化步骤预处理电力物联网网关的检测数据;基于区块链技术识别入侵数据,均衡检测数据区块节点负载防止节点过载,根据节点异常分数值获取异常节点,实现电力物联网网关入侵检测。实验结果表明,该方法的电力物联网网关入侵检测准确率达到了95.54%、F1值为95.09%,其具有良好的入侵检测性能。
the intrusion detection method of power Internet of things gateway has a poor effect on the intrusion detection of the Internet of things due to the poor preprocessing effect of the detection data. This paper proposes an intrusion detection method of power Internet of things gateway based on the blockchain technology. Preprocessing the detection data of the power Internet of things gateway through the steps of feature selection, feature dimension reduction and attribute normalization;Based on the blockchain technology, the intrusion data is identified, the load of the nodes in the detection data block is balanced to prevent the overload of the nodes, and the abnormal nodes are obtained according to the abnormal scores of the nodes, so as to realize the intrusion detection of the power Internet of things gateway. The experimental results show that the accuracy rate of the intrusion detection of the gateway of the power Internet of things is 95.54%, and the F1 value is 95.09%. It has good intrusion detection performance.
作者
冷迪
邱子良
黄建华
秦思远
LENG Di;QIU Ziliang;HUANG Jianhua;QIN Siyuan(Shenzhen Power Supply Bureau Co.,LTD.,Shenzhen 518000,Guangdong,China)
出处
《长江信息通信》
2023年第1期120-121,125,共3页
Changjiang Information & Communications
关键词
区块链技术
电力物联网
网关
入侵检测
blockchain technology
Power Internet of things
Gateway
Intrusion detection
作者简介
冷迪(1986-),男,广东深圳人,硕士,高级工程师,研究方向:信息技术、电力系统、自动化。
