Title: Research on mass data storage and retrieval method of relational database based on KID cognitive model

Authors: Haiyan Xu

Addresses: Henan Polytechnic, Zhengzhou 450000, China

Abstract: In order to solve the problems of high space occupation rate and low retrieval security existing in traditional methods, this paper designs a massive data storage and retrieval method based on KID cognitive model of relational database. First, the singular value of the information flow of the data with similar attributes in the database is decomposed, and the data with similar attributes is removed, and then the mass data is stored according to the mapping relationship between the data. Then, the KID cognitive model is used to transform the data mode, and the safe retrieval coefficient is obtained by determining the threshold value of the core point of the data to realise the safe retrieval of the data. Experimental results show that the space occupancy rate of this method is always less than 10%, and the safety factor of data retrieval is the highest about 0.95.

Keywords: relational database; kid cognitive model; singular value decomposition; massive data storage; secure retrieval.

DOI: 10.1504/IJICT.2023.132765

International Journal of Information and Communication Technology, 2023 Vol.23 No.2, pp.126 - 136

Received: 02 Mar 2021
Accepted: 25 May 2021
Published online: 09 Aug 2023 *

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