Coupling of Image Authentication and Identification of Logistics Blockchain Based on Cloud Computing
Abstract
There is a one-to-one correspondence between logistics information and express order numbers. If the logistics information is directly disclosed in the blockchain, it is easy to infer the addresses of the recipient and the sender, and the personal privacy of the user cannot be guaranteed. Once information leakage or information theft occurs, serious consequences can ensue. With regard to the protection of digital image copyright, transaction deposit and digital image copyright authentication in the management of existing logistics blockchain image authentication and identification, user privacy protection, personalized recommendation, etc., in this study, digital watermarking, blockchain technology and recommendation technology is applied to digital image transaction management. We propose an intelligent recommendation algorithm for personalized digital images based on weighted TextRank and SOM. A logistics blockchain image transaction management system is designed that can solve the current problems in the
cloud computing environment. It benefits both buyers and sellers. The median filter attack experiment found that after the image to be detected is attacked by the median filter with the filter window size ranging from 2 to 99, all of the NC values of the extracted robust watermark are 1. The NC values of the extracted semi-fragile watermarks range from 0.9696 to 0.8909, and theTAF values of the semi-fragile watermarks range from 0.0676 to 0.1808. The trusted framework based on blockchain for outsourcing data entry (TFBO) in this paper is not only credible but also practical. This study helps to solve the privacy protection problem in the logistics process and improve the user’s trust in the logistics company.
Keywords: logistics blockchain, image authentication recognition, cloud computing, user privacy protection
Cite As
S. Liu, " Coupling of Image Authentication and Identification of Logistics Blockchain Based on Cloud Computing",
Engineering Intelligent Systems, vol. 33 no. 2, pp. 141-153, 2025.