A Novel Data Traceability Model Based on Blockchain and Digital Watermarking in Edge Computing
Caiyun Liu, Xuehong Chen, Jun Li, Shuaifeng Yang, Yan Sun · Journal of Physics Conference Series · 2020
Abstract Most of the current data traceability models are centralized models, which cannot meet the traceability requirements of distributed edge nodes. Blockchain is a decentralized trust management mechanism based on the Internet. Its features that are difficult to tamper with and traceable provide a new solution to secure data traceability. However, many edge nodes have limited computing and storage resources, and cannot store large amounts of blockchain information. In order to solve the above problems, we propose a novel distributed traceability model based on digital watermarking and blockchain in edge computing. The model improves the security of the traditional traceability model by dividing the internal and external areas and electing the master nodes, reduces the storage capacity of resource-constrained nodes and solves the problem of poor scalability of the blockchain. The model can be applied to widely distributed edge node traceability scenarios, and can also trace the data in the case of watermark failure.