Information source tracing method of electronic commerce supply chain based on blockchain Online publication date: Mon, 17-Apr-2023
by Shijun Zhang
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 27, No. 1/2/3, 2022
Abstract: In order to overcome the problems of long tracing time and poor tracing accuracy in traditional source tracing methods, this paper proposes a blockchain-based electronic commerce supply chain source tracing method. First, use IoT equipment to collect transaction data, store it in the cluster server in the form of blockchain, build electronic commerce supply chain traceability information base and determine the traceability query scheme. Secondly, the traceability state probability matrix is constructed to obtain the source tag variables. Then, the tracing function is constructed, and the tracing parameters are modified by Baum Welch algorithm. Finally, the Viterbi algorithm is used to obtain the tag matching function, and the recursive method is used to solve the source tracing results. The implementation results show that the tracing time of this method is only 50 s, and the tracing accuracy is as high as 99.8%, indicating that the source tracing effect is good.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Mining and Bioinformatics (IJDMB):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook