Affiliations: [a] School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou 450046, China | [b] School of Civil Engineering and Architecture, Zhengzhou University of Aeronautics, Zhengzhou 450046, China
Abstract: Aiming at the problems of low security coefficient and low storage efficiency of traditional methods, a power information security partition storage method based on multidimensional data mining is designed. Firstly, the relationship value between power information data is analyzed and determined, and the power information collection is completed with the help of covariance matrix. Then, the membership function of multidimensional power information data is calculated, and the noise reduction of multidimensional power information is completed by calculating Lagrange coefficient. Finally, the multidimensional information data is analyzed by two-dimensional correlation, the multidimensional power information data is layered, the partition structure is optimized, the data of the three regions after stratification are encrypted respectively, so as to complete the secure storage of power information data. Experimental results show that the security factor of power information security partition storage using this method is always higher than 0.9, and the storage efficiency is high.
Keywords: Multidimensional data mining, power information security partition, storage, Euclidean distance, membership function