A blockchain technology based trust system for cloud manufacturing

Barenji, Reza Vatankhah

doi:10.1007/s10845-020-01735-2

Cited by 35 publications

(5 citation statements)

References 33 publications

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“…These models can be applied to large battery powered devices that have good computational capabilities. Similar models that use low complexity machine learning techniques like support vector machine (SVM) [18], Secure and Efficient Distributed Network Provenance [19], eVoting mechanism [20], Hyperledger fabric [21], proof-of-stake (PoS) consensus for logistics [22], and smart contracts [23] can be observed. These models aim at reducing computational complexity during blockchain deployment, thereby expanding their area of application.…”

Section: Literature Reviewmentioning

confidence: 85%

Improving Trust Levels in Wireless Networks Using Blockchain Powered Dempster Shaffer Route Optimization

Chhattisgarh¹

2022

ECS Trans.

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Improved node and network trust levels in wireless networks assist the network to have better security and quality of service (QoS) performance. Security performance is measured in terms of number of attacks detected and mitigated by the network, while QoS performance is measured in terms of end-to-end delay, communication throughput, energy requirement, and packet delivery ratio metrics. In order have good trust levels in the network, a wide variety of methods, including reputation evaluation, historical analysis, temporal network, and node analysis, are proposed by network researchers. Implementation of these algorithms increases computational complexity of the network, thereby increasing end-to-end delay during communication. During routing, repeated calculations of trust in the network further increases number of computational steps required for route selection. These added calculations improve network security but reduce overall QoS at node and network level. Moreover, if these calculations are simplified for reducing computational complexity, then QoS improves but network security is compromised. In order to maintain a high network QoS with sufficient level of security, this paper proposes a novel blockchain powered routing model that uses Dempster Shaffer (DS) route optimization. The model utilizes node-to-node distance, energy efficacy, and temporal packet forwarding capabilities in order to select the most efficient routing strategy. This strategy is combined with a proof-of-work (PoW) based blockchain solution that allows the network to have high trust levels. Due to decentralized processing, the network is able to have good QoS levels along with high security.

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Section: Literature Reviewmentioning

confidence: 85%

Improving Trust Levels in Wireless Networks Using Blockchain Powered Dempster Shaffer Route Optimization

Chhattisgarh¹

2022

ECS Trans.

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“…IoT has the capability of capturing continuous data on movements, and data on operating parameters of running machines and equipment, machine tools, and robots with spatial and location-based information in a dynamic manufacturing environment (Haghnegahdar et al, 2022;Shrivastava et al, 2023). With the conceptualization of privacy protected blockchains for cloud manufacturing, efficiencies in data collection, storage, and transactions can improve significantly thus paving way to services-oriented networked manufacturing offered through cloud computing platforms (Hasan et al, 2021;Barenji, 2022).…”

Section: Understanding Cloud Manufacturing-a Brief Reviewmentioning

confidence: 99%

Provenance blockchain for ensuring IT security in cloud manufacturing

Umer,

Gouveia,

Belay

2023

Front. Blockchain

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Provenance blockchain is an evolving concept for protection of production, logistics, and supply chain networks from rogue Industrial Internet of Things (IIoT) devices. Such rogue IIoT devices are a recognized threat in the cloud manufacturing networks. In extreme cases, they can be used to cause industrial accidents. A brief version of provenance is about end-to-end tracking and tracing of data and the nodes involved in creating, modifying, transmitting, storing, and deleting it at specific times and locations. It provides an end-to-end verifiable and controlled computation for ensuring trustworthiness, quality, reliability, and validity of data. Provenance has existed in computing using logging software systems. This research is focused on threats to food supply chains between two countries. A scenario for protecting food supply chain from India to UAE has been modeled. This research recognized the threat of harmful food items getting mixed with flow of genuine products in a supply chain. The IIoT devices used to control the flow can be authenticated using the evolving provenance blockchain technology. With the help of recent design recommendations in the literature, a model design has been created and simulated in this research. Observations from the simulation revealed that TCP congestions and unpredictable turnaround time for assigning cryptographic keys to IIoT device sessions may have to be explored in future. A collaborative design between the two nations has been proposed. All IIoT devices not supporting cryptography will be eliminated from the cloud manufacturing and supply chain networks. Currently, this design may be used for one time registration only. Future studies may provide improved versions in which, repeated authentication and keys replacements may be implemented.

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“…The papers attempt to project the existing gaps in cloud manufacturing around security along with information centralization and evaluate blockchain technology as a two-level peer-to-peer network to implement cloud manufacturing. The paper (Zhu et al, 2020) The paper (Vatankhah Barenji, 2021) coins a new term for blockchain-based trust called Blocktrust to address the trust problem in cloud manufacturing. In Blocktrust based cloud manufacturing, trust in a private peer-to-peer network is maintained by having trust scores for each node.…”

Section: Blockchain For Cloud Manufacturingmentioning

confidence: 99%

Blockchain-based digital trust mechanism: a use case of cloud manufacturing of LDS syringes for COVID-19 vaccination

Rane

Huang

2023

JID

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Trust is essential in the digital world. It is a critical task to build digital trust for the ongoing digital engineering transformation. Aiming at developing a blockchain-based digital trust mechanism for Cloud Manufacturing or Manufacturing-as-a-Service (MaaS), in this paper, we use the manufacturing of low dead space (LDS) medical syringes through Cloud Manufacturing as a motivating scenario to develop a basic framework. To meet the need of optimally saving Covid-19 vaccine doses to save more lives, the medical device manufacturing community needs to make a swift move to meet the surged need for LDS syringes. Cloud Manufacturing is a form of emerging Digital Manufacturing facilitated with Cloud/Edge Computing, the Internet of Things, and other digital technologies. Cloud manufacturing allows quickly establishing a digital virtual enterprise that pools together various manufacturing resources worldwide to meet the surged needs of products and save cost and time. Trusting the product quality and safety is a significant challenge when using Cloud Manufacturing to manufacture the products. This paper proposes a schema of blockchain-based digital trust mechanisms with examples of using Cloud Manufacturing of medical LDS syringes for the urgent needs of catering Covid-19 vaccination.

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A blockchain technology based trust system for cloud manufacturing

Cited by 35 publications

References 33 publications

Improving Trust Levels in Wireless Networks Using Blockchain Powered Dempster Shaffer Route Optimization

Improving Trust Levels in Wireless Networks Using Blockchain Powered Dempster Shaffer Route Optimization

Provenance blockchain for ensuring IT security in cloud manufacturing

Blockchain-based digital trust mechanism: a use case of cloud manufacturing of LDS syringes for COVID-19 vaccination

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