Trusted Dynamic Threshold Caculation Method in Power IoT

Fangfang Dang, Lijing Yan, Shuai Li, Dingding Li
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Abstract

Smart grid is a new generation of grid that inte-grates traditional grid and grid information system, and infor-mation security of smart grid is an extremely important part of the whole grid. The research of trusted computing technology provides new ideas to protect the information security of the power grid. To address the problem of large deviations in the calculation of credible dynamic thresholds due to the existence of characteristics such as self-similarity and traffic bursts in smart grid information collection, a traffic prediction model based on ARMA and Poisson process is proposed. And the Hurst coefficient is determined more accurately using R/S analysis, which finally improves the efficiency and accuracy of the trusted dynamic threshold calculation.
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电力物联网中可信动态阈值计算方法
智能电网是传统电网与电网信息系统相结合的新一代电网,智能电网的信息安全是整个电网极其重要的组成部分。可信计算技术的研究为保障电网信息安全提供了新的思路。针对智能电网信息采集中存在自相似、突发等特征导致可信动态阈值计算偏差较大的问题,提出了一种基于ARMA和泊松过程的交通预测模型。利用R/S分析更准确地确定了Hurst系数,从而提高了可信动态阈值计算的效率和准确性。
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