A Blockchain-Based Trusted Data Management Scheme in Edge Computing

Autor: Haneef Khan, Ma Zhaofeng, Wang Xiaochang, Wang Zhen, Gao Hongmin, Deepak Kumar Jain
Rok vydání: 2020
Předmět:
Zdroj: IEEE Transactions on Industrial Informatics. 16:2013-2021
ISSN: 1941-0050
1551-3203
DOI: 10.1109/tii.2019.2933482
Popis: With rapid development of computing technologies, large amount of data are gathered from edge terminals or Internet of Things (IoT) devices, however data trust and security in edge computing environment are very important issues to be considered, especially when the gathered data are fraud or dishonest, or the data are misused or spread without any authorization, which may lead to serious problems. In this article, a blockchain-based trusted data management scheme (called BlockTDM) in edge computing is proposed to solve the above problems, in which we proposed a flexible and configurable blockchain architecture that includes mutual authentication protocol, flexible consensus, smart contract, block and transaction data management, blockchain nodes management, and deployment. The BlockTDM scheme can support matrix-based multichannel data segment and isolation for sensitive or privacy data protection, and moreover, we have designed user-defined sensitive data encryption before the transaction payload stores in blockchain system, and have implemented conditional access and decryption query of the protected blockchain data and transactions through smart contract. Finally, we have evaluated the proposed BlockTDM scheme security, availability, and efficiency with large amount of experiments. Analysis and evaluations manifest that the proposed BlockTDM scheme provides a general, flexible, and configurable blockchain-based paradigm for trusted data management with tamper-resistance, which is suitable for edge computing with high-level security and creditability.
Databáze: OpenAIRE