网络安全与数据治理2025，Vol.44Issue(9)：1-7,7.DOI:10.19358/j.issn.2097-1788.2025.09.001
一种融合多维信息的电力物联网设备指纹识别技术
A fingerprint recognition technology for power IoT devices integrating multidimensional information
摘要
Abstract
To address security issues such as malicious tampering and illegal access faced by computing-power-free devices in the power Internet of Things(IoT),and existing device fingerprint technology lacks adaptability in complex environments,this paper proposes a device fingerprint recognition technology that integrates multi-dimensional information to enhance the security and accu-racy of device recognition.Methodologically,it combines hardware identifiers,communication protocol characteristics,and opera-tional status data to construct a dynamic fingerprint model through adaptive hashing,attention-enhanced encoding,window algo-rithms,and other techniques,and verifies its performance through comparison with mainstream algorithms.The research results show that this technology achieves high accuracy,recall rate,and F1 score in both normal and abnormal network environments and power operation states.It is suitable for computing-power-free devices and can adapt to a certain degree of environmental changes.This technology provides an effective solution for accurate identification and security management of computing-power-free devices in the power IoT.In the future,it can be further optimized by combining new technologies to adapt to more new scenarios.关键词
电力物联网/无算力设备/设备指纹/识别技术/建模/实验仿真Key words
power Internet of Things/computing-power-free device/device fingerprint/identification technology/modeling/ex-perimental simulation分类
信息技术与安全科学引用本文复制引用
卢列文,刘佳烨,杨盛明..一种融合多维信息的电力物联网设备指纹识别技术[J].网络安全与数据治理,2025,44(9):1-7,7.基金项目
广州市重点研发计划项目(2023B01J0002) （2023B01J0002）
