Security Data Fusion Method for IoT Perception Layer for New Electric Power Systems

计算机科学 传感器融合 图层(电子) 融合 物联网 感知 数据安全 数据挖掘 计算机安全 人工智能 加密 材料科学 语言学 生物 哲学 复合材料 神经科学
作者
Shijun Zhang,Jinzhi Lai,Jing Zeng
标识
DOI:10.1145/3645279.3645294
摘要

Due to the growth of Internet of Things (IOT) technology in recent years, IOT has effectively improved the efficiency of information transmission and production. To ensure the security and effectiveness of data fusion in the new electric power system (EPS)-oriented IOT, this article proposes a new secure data fusion method in the sensing layer of IOT. In this article, the collected data are mapped into pattern codes and then fused and transmitted to ensure the confidentiality of the data. At the same time, the security of fusion information is ensured by monitoring the fusion nodes by monitoring nodes. Finally, the security and rationality of the security data fusion method of IOT sensing layer in this article are proved by many simulation experiments. The simulation results show that: the accuracy of security data fusion in the sensing layer of IOT can be stabilized at about 93∼95% by using this method; Moreover, the simulation running time of the algorithm proposed in this article is less, and the data fusion efficiency is higher. Applying this method to secure data fusion of IOT sensing layer can effectively improve the efficiency of secure data fusion of IOT sensing layer, and reduce communication overhead and storage overhead on the premise of ensuring security attributes.
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