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- Title
HIGH-DENSITY INFORMATION SECURE STORAGE METHOD FOR BIG DATA CENTER BASED ON FUZZY CLUSTERING.
- Authors
Zili Chen
- Abstract
High-density information security storage in big data center is the important application of ensuring the confidentiality of information. Information storage security is mainly for the high-density information in big data center of the network. A security storage method of high-density information in big data center based on fuzzy clustering is proposed. In order to improve the accuracy of high-density information security storage in big data centers, the fuzzy theory is firstly used to give the distribution structure of high-density information, and obtain the time series flow model of information security storage and the time interval of high-density data distribution. Experimental simulation shows that the data storage security and stability of the proposed method are high, it is of great significance for the security of network information. The simulation experiment results show that with the increase of the sampling time, the throughput of using the proposed method for high-density information security storage in the big data center has obvious advantages compared to that of the method, it greatly enhances the quality of high-density information security storage in the big data center.
- Publication
Academic Journal of Manufacturing Engineering, 2020, Vol 18, Issue 4, p111
- ISSN
1583-7904
- Publication type
Academic Journal