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AuthorKalapaaking, Aditya Pribadi
AuthorKhalil, Ibrahim
AuthorRahman, Mohammad Saidur
AuthorBouras, Abdelaziz
Available date2023-04-09T08:34:49Z
Publication Date2022
Publication NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ResourceScopus
URIhttp://dx.doi.org/10.1007/978-3-031-23020-2_35
URIhttp://hdl.handle.net/10576/41740
AbstractSmart manufacturing systems involve a large number of interconnected devices resulting in massive data generation. Cloud computing technology has recently gained increasing attention in smart manufacturing systems for facilitating cost-effective service provisioning and massive data management. In a cloud-based manufacturing system, ensuring authorized access to the data is crucial. A cloud platform is operated under a single authority. Hence, a cloud platform is prone to a single point of failure and vulnerable to adversaries. An internal or external adversary can easily modify users' access to allow unauthorized users to access the data. This paper proposes a role-based access control to prevent modification attacks by leveraging blockchain and smart contracts in a cloud-based smart manufacturing system. The role-based access control is developed to determine users' roles and rights in smart contracts. The smart contracts are then deployed to the private blockchain network. We evaluate our solution by utilizing Ethereum private blockchain network to deploy the smart contract. The experimental results demonstrate the feasibility and evaluation of the proposed framework's performance. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Sponsorauthors would like to express their gratitude to the QNRF (Qatar Foundation) for its support and funding for the project activities.
Languageen
PublisherSpringer Science and Business Media Deutschland GmbH
SubjectAccess control
Blockchain
Industry 4.0
Smart contract
Smart manufacturing
TitleBlockchain-Based Access Control for Secure Smart Industry Management Systems
TypeConference Paper
Pagination615-630
Volume Number13787 LNCS
dc.accessType Abstract Only


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