Research on consumers' personal information security and perception based on digital twins and Internet of Things

Abstract

In order to solve the problem of personal information leakage caused by online shopping, the researchers propose a consumer personal information security and its perception based on digital twin and Internet of things. This paper takes the online shopping process as the main line, obtains the information security problems existing in each link through the analysis of each shopping link. Analyze the interactions and interactions between digital twins and the big data industry supporting them, cloud computing, artificial intelligence, and online commerce. The results show that among all respondents, the perception of personal information security in the process of online shopping is “uncertain”, accounting for 40.78%. Secondly, the proportion of “agree” and “fully agree” information security is 38.47% and 9.54% respectively, while the proportion of “completely disagree” personal information security is only 1.47%, which shows that consumers are more confident in personal information security in online shopping, and also reflects consumers' lack of perception of existing threats in online shopping. This shows that a considerable number of consumers believe that the online shopping cart and order information are safe, showing their trust in the online shopping website.