A Survey on Privacy-Preserving Blockchain Systems (PPBS) and a Novel PPBS-Based Framework for Smart Agriculture

Tran, Quang Nhat; Turnbull, Benjamin; Wu, Haotian; Silva, A.J.S. de; Kormusheva, Katerina; Hu, Jiankun

doi:10.1109/ojcs.2021.3053032

Cited by 43 publications

(13 citation statements)

References 86 publications

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“…In addition to promoting the utilization of medical clinical data, the emergence of blockchain technology enables decentralized cross-institutional medical research. Reference [89] described a new framework ModelChain that makes blockchain technology suitable for decentralized research of medical predictive models. Unlike traditional centralized architectures, each participating node contributes to model parameter estimation without revealing any patient information, and can be used from multiple institutions predictive model learning based on the data.…”

Section: Blockchain Vitality In Medical Researchmentioning

confidence: 99%

MEC-IoT-Healthcare: Analysis and Prospects

Wang¹,

Dauwed²,

Khan³

et al. 2023

Computers, Materials &Amp; Continua

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Physical sensors, intelligent sensors, and output recommendations are all examples of smart health technology that can be used to monitor patients' health and change their behavior. Smart health is an Internet-of-Things (IoT)-aware network and sensing infrastructure that provides real-time, intelligent, and ubiquitous healthcare services. Because of the rapid development of cloud computing, as well as related technologies such as fog computing, smart health research is progressively moving in the right direction. Cloud, fog computing, IoT sensors, blockchain, privacy and security, and other related technologies have been the focus of smart health research in recent years. At the moment, the focus in cloud and smart health research is on how to use the cloud to solve the problem of enormous health data and enhance service performance, including cloud storage, retrieval, and calculation of health big data. This article reviews state-of-the-art edge computing methods that has shifted to the collection, transmission, and calculation of health data, which includes various sensors and wearable devices used to collect health data, various wireless sensor technologies, and how to process health data and improve edge performance, among other things. Finally, the typical smart health application cases, blockchain's application in smart health, and related privacy and security issues were reviewed, as well as future difficulties and potential for smart health services. The comparative analysis provides a reference for the the mobile edge computing in healthcare systems.

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Section: Blockchain Vitality In Medical Researchmentioning

confidence: 99%

MEC-IoT-Healthcare: Analysis and Prospects

Wang¹,

Dauwed²,

Khan³

et al. 2023

Computers, Materials &Amp; Continua

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“…Tran et al (2021) [35] propose a privacy preservation framework designed to solve problems identified in smart agriculture. The framework structure is composed of the following components: field sensor networks, an aggregator, gateways and a consortium blockchain.…”

Section: State-of-the-artmentioning

confidence: 99%

Untangling the Use of Blockchain in Distributed AgriFood Supply Chains: IoT data privacy and ABAC policy smart contract

Pesanhane,

Westphall

2023

Preprint

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Blockchain is portrayed as a technology capable of solving problems of transparency, traceability, data tampering and accountability in the Agrifood supply chain. However, the transparency provided brings privacy issues and furthermore, this sector is characterized by the use of IoT devices for process automation, and these devices have problems of limited performance, mobility, etc, making it difficult to manage the large scale IoT environment using current security, authentication and access control solutions. To address these challenges, the work proposes an architecture for storing private data, allowing only authorized participants to have access. These data are stored by IoT devices in the participant’s cloud after its transaction has been validated by the endorsing peers and in accordance with the attribute-based access control (ABAC) policy that allows the IoT device owners configure the physical quantities, the range of values, time period, body type, that each device is allowed to measure and transmit. An user can be authorized to read IoT data under the ABAC policy contract. 50% of IoT 1 Springer Nature 2021 L A T E X template Article Title data write requests are performed and answered in less than 0.14 seconds and 2.5 seconds using solo and raft ordering service, respectively. On the other hand, data retrieval had a average latency ranging from 0.34 to 0.57 seconds and throughput from 124.8 to 9.9 Transactions Per Second (TPS) for data sizes ranging from 8 to 512 kilobytes.

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“…The accelerating interest in BC technology is due to the publicly accessible infrastructure without a centralized system known as opacity, fair access to resources, and data immutability and non-repudiation. BC can be categorized into three major classes: public, private [21], [24], [25] and consortium [6],[9], [26], [27].…”

Section: The Concept Of Bcmentioning

confidence: 99%

Review on Energy Application Using Blockchain Technology With an Introductions in the Pricing Infrastructure

et al. 2022

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With the rapid transformation of the energy sector towards modern power systems represented by smart grids (SGs), microgrids (MG), and distributed generation, blockchain (BC) technology has shown the capability for solving security, privacy, and reliability challenges that hinder progress. Currently, the energy structure is forming a decentralized system that prioritizes customer satisfaction. BC technology undertakes power network stockholders in a secure energy market, transparent transactions, and fair competition and offers promising energy solutions. This paper is a comprehensive review of energy applications using BC integration. Firstly, we introduce the drivers of BC leverage that make it a potentially important component of the power network. Following that, we provide background information on BC and its application in areas other than the energy sector. Subsequently, we discuss studies and sort potential energy applications from various recent papers and surveys that have already adopted BC technology in the energy sector. Then, we summarize the pricing infrastructure for applying BC in the energy sector and identify the requirements to build it. Finally, energy security and privacy challenges based on BC are highlighted, along with potential drawbacks and concerns related to the pricing infrastructure.

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A Survey on Privacy-Preserving Blockchain Systems (PPBS) and a Novel PPBS-Based Framework for Smart Agriculture

Cited by 43 publications

References 86 publications

MEC-IoT-Healthcare: Analysis and Prospects

MEC-IoT-Healthcare: Analysis and Prospects

Untangling the Use of Blockchain in Distributed AgriFood Supply Chains: IoT data privacy and ABAC policy smart contract

Review on Energy Application Using Blockchain Technology With an Introductions in the Pricing Infrastructure

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