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A Novel Data Traceability Model Based on Blockchain and Digital Watermarking in Edge Computing
Author(s) -
Caiyun Liu,
Xuehong Chen,
Jun Li,
Shuaifeng Yang,
Yaohua Sun
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1682/1/012041
Subject(s) - traceability , blockchain , computer science , scalability , distributed computing , enhanced data rates for gsm evolution , requirements traceability , computer security , node (physics) , computer network , database , engineering , software engineering , operating system , telecommunications , requirements engineering , structural engineering , software , requirement
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.

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