Affiliations: School of Economics and trade, Haojing College of Shaanxi University of Science and Technology, Xi’an, Shaanxi, China
Correspondence:
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Corresponding author: Xia Hua, School of Economics and trade, Haojing College of Shaanxi University of Science and Technology, Xi’an 710000, Shaanxi, China. E-mail: [email protected].
Abstract: Currently, international trade (Int’l Trade) often faces risks such as privacy data leakage and transaction security during transactions, which seriously affect the protection of privacy data in trade. Therefore, this article used the Internet of Things and blockchain to attempt to address these risk issues and improve the security of privacy data. By analyzing the security threats in Int’l Trade transactions, this article used additive aggregation functions to analyze the protection effect of privacy data and studied the core issues of Int’l Trade privacy data. This article analyzed the privacy protection model using the Internet of Things blockchain and proposed corresponding Int’l Trade privacy data protection strategies. Among the five surveyed enterprises, data audit and data backup were all above the standard value, while data query only exceeded the standard value for enterprises 2, 3, 4, and 5. The average abnormal value of the enterprise in data anomalies decreased by 0.06 compared to the standard value. Through experimental testing, it has been found that Internet of Things blockchain can effectively improve the privacy data protection effect of Int’l Trade and promote the convenience of Int’l Trade transactions.
Keywords: Privacy data management, international trade, Internet of Things, blockchain technology
