Big Data Classification Model and Algorithm based on Blockchain
Jiyin Zhou · 2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information (ICETCI) · 2022
Although the 4V properties of big data have been widely discussed, most of them still describe the appearance of big data. Technical characteristics are necessary. Based on the above background, the purpose of this article is to study the big data classification model and algorithm based on blockchain. This article addresses the problem of mutual trust in data classification caused by the lack of a transparent, open, and equal interaction environment in the current centralized big data classification model. This article analyzes the advantages of blockchain-based big data classification in depth and establishes a blockchain-based big data classification model. Through the data connection model of the combination of blockchain and distributed file system, key information in all classification interactions is stored on the chain in an immutable and traceable manner. This article implements a big data classification prototype system based on Ethereum, IPFS, Laravel and other technologies. The experimental results show that the stand-alone running time is 4343ms longer than the three-node parallel running time, and the blockchain-based execution time is 17615ms longer than the serial running time. Based on the blockchain, this article introduces the interstellar file system IPFS and Zigzag coding, capabilities-based access control methods, and publish-subscribe models, and proposes a reliable data connection mechanism based on BIZi network, a blockchain-based data capability access control mechanism, and a zone-based Blockchain data service customization mechanism.