Building a Cross-Border E-Commerce Ecosystem Model Based on Block Chain + Internet of Things
Author(s) -
Jie Du,
Zhaoyan Yu
Publication year - 2021
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0114
pISSN - 1939-0122
DOI - 10.1155/2021/6451721
Subject(s) - computer science , e commerce , the internet , block (permutation group theory) , traceability , big data , convergence (economics) , overhead (engineering) , computer security , world wide web , data mining , geometry , mathematics , software engineering , economics , economic growth , operating system
With the development of Internet technology, cross-border e-commerce in the form of “Internet + foreign trade” has come into being. However, in recent years, scholars have continuously raised the problem that the cross-border e-commerce ecosystem with cross-border e-commerce platform as the core and the new Internet technology has not been developed sympathetically. Therefore, by establishing a model of cross-border e-commerce ecosystem and new Internet technology (block chain + Internet of Things), this paper analyzes the stable evolution strategy of both for convergence development and proposes countermeasures for the convergence development of new Internet technology and cross-border e-commerce platform ecosystem of RFID technology logistics tracking + block chain authentic product traceability, taking vertical class cross-border e-commerce platform as an example. The simulation experiment results show that the solution proposed in this paper is feasible compared with traditional and has obvious advantages in data theft prevention, multiparty authentication, and saving system overhead to solve the calculation method of e-commerce sharing problem. Reference is provided for solving the e-commerce cyberculture problem. The process takes advantage of block chain decentralization and auditability from the relevant data analysis from the theoretical concept of big data, the current situation of cross-border e-commerce, and how big data can be applied and developed for cross-border e-commerce, in three major dimensions.
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