Safety Collection Algorithm of Big Data for Blockchain-Based Power Grid Systems

【Author】 Xu, Min; Tang, Li

【Source】IETE JOURNAL OF RESEARCH

【影响因子】1.877

【Abstract】The typical big data security acquisition algorithm especially in distributed environment of blockchain overlooks big data dispatching in an emergency and is unable to improve the data collection interval, resulting in significant deviation and distortion. As a result, a big data security acquisition technique that considers the entire life cycle has been developed. In order to meet the goals of different stages of the power grid life cycle, adjust the quantity and deployment of big data, and complete big data dispatching under a sudden power grid crisis. To mine the properties of big data, an association rules mining algorithm is used. The mining data is classified using the fuzzy C-means clustering algorithm, and a secure data acquisition model is built. The four-quadrant graph approach is used to split the multi-class data acquisition priority of power grid equipment, and the fluctuation degree of power grid equipment data is assessed. The revolving door algorithm is used to optimize the security of massive data acquisitions by adjusting the time interval of equipment data gathering. The results of the experiments reveal that this method can capture equipment operational status data in blockchain-based distributed real-time environment with a better collection frequency and accuracy. The findings of large data acquisition are more relevant and less skewed.

【Keywords】Big-data; blockchain; four-quadrant graph method; power grid; safe acquisition; safety collection algorithm

【发表时间】

【收录时间】2022-02-20

【文献类型】期刊

【主题类别】

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