Blockchain-Research and Applications最新文献_第8页

Unraveling the potential of blockchain technology in enhancing supply chain traceability: A systematic literature review and modeling with ISM 揭示区块链技术在提高供应链可追溯性方面的潜力：系统的文献综述和ISM建模

IF 6.9 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Blockchain-Research and Applications

Pub Date : 2025-03-01 Epub Date: 2024-11-13 DOI: 10.1016/j.bcra.2024.100240

Reza Payandeh , Ahmad Delbari , Fatemeh Fardad , Javad Helmzadeh , Sanaz Shafiee , Ali Rajabzadeh Ghatari

Supply chain traceability is a critical aspect of modern business operations, and blockchain technology has emerged as a promising solution to enhance traceability in supply chain management. However, the effective application of blockchain faces various challenges and limitations. This study aims to investigate how blockchain technology can address these challenges and improve traceability within supply chains. Employing a systematic literature review combined with interpretative structural modeling (ISM), we comprehensively assess and classify the literature on blockchain-enabled supply chain traceability. Our exploratory research approach delves into the contributions of blockchain technology and identifies key factors that enhance traceability. We adopt a mixed-methods approach, incorporating both secondary and primary data to ensure robust analysis. Our study addresses essential questions regarding the application, advantages, limitations, challenges, integration with other technologies, and future potential of blockchain in supply chain traceability. Through a systematic review and the ISM technique, we identify crucial levels and factors necessary for leveraging blockchain technology effectively. Our findings underscore the importance of a robust infrastructure, cutting-edge technology, and significant initial investment in implementing blockchain for supply chain traceability. This research offers a comprehensive understanding of the factors and their levels, providing valuable insights for industry professionals and academic researchers. By laying a solid foundation for informed decision-making and further exploration into the potential of blockchain-enhanced supply chain traceability, our study contributes to advancing knowledge in this crucial area of business operations.

供应链可追溯性是现代商业运作的一个重要方面，区块链技术已经成为提高供应链管理可追溯性的一个有前途的解决方案。然而，区块链的有效应用面临着各种挑战和限制。本研究旨在探讨区块链技术如何应对这些挑战，并改善供应链中的可追溯性。通过结合解释结构建模（ISM）的系统文献综述，我们对区块链支持的供应链可追溯性的文献进行了全面评估和分类。我们的探索性研究方法深入研究了区块链技术的贡献，并确定了增强可追溯性的关键因素。我们采用混合方法，结合二级和初级数据，以确保稳健的分析。我们的研究解决了关于区块链在供应链可追溯性中的应用、优势、限制、挑战、与其他技术的集成以及未来潜力的基本问题。通过系统回顾和ISM技术，我们确定了有效利用区块链技术所需的关键水平和因素。我们的研究结果强调了强大的基础设施、尖端技术和在实施区块链以实现供应链可追溯性方面的重大初始投资的重要性。这项研究提供了对这些因素及其水平的全面了解，为行业专业人士和学术研究人员提供了有价值的见解。通过为明智的决策奠定坚实的基础，并进一步探索区块链增强供应链可追溯性的潜力，我们的研究有助于提高这一关键业务运营领域的知识。

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引用次数: 0

βFSCM: An enhanced food supply chain management system using hybrid blockchain and recommender systems βFSCM：使用混合区块链和推荐系统的增强型食品供应链管理系统

IF 6.9 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Blockchain-Research and Applications

Pub Date : 2025-03-01 Epub Date: 2024-12-17 DOI: 10.1016/j.bcra.2024.100245

Feiyang Sun , Peiyu Wang , Yihan Zhang , Pushpendu Kar

Blockchain technology has gained traction in Food Supply Chain Management (FSCM), enhancing traceability and transparency. The existing deployments of public or private blockchains face issues in achieving an optimal balance between transparency and decentralization. This work proposes a hybrid blockchain model complemented by an Access Control (AC) mechanism to bolster security, reliability, and usability within FSCM systems. Furthermore, the integration of a recommender system is proposed to utilize data analytics and machine learning for personalizing product offerings and optimizing inventory management, aiming to boost efficiency and consumer satisfaction. The synergy between the hybrid blockchain framework and the recommender system is anticipated to cultivate a more engaged, efficient, and gratified supply chain ecosystem. The model significantly enhances monitoring in 30% of the use cases and supports transparency in a quarter. It also reduces vulnerability cases by 20%. Inventory management is markedly improved, reducing overstock by 25%, confirming the effectiveness of the proposed hybrid blockchain approach.

区块链技术已在食品供应链管理（FSCM）中得到广泛应用，提高了可追溯性和透明度。现有的公共或私有区块链部署在实现透明度和去中心化之间的最佳平衡方面存在问题。这项研究提出了一种混合区块链模型，并辅以访问控制（AC）机制，以提高 FSCM 系统的安全性、可靠性和可用性。此外，还提出了整合推荐系统的建议，以利用数据分析和机器学习来个性化产品供应和优化库存管理，从而提高效率和消费者满意度。混合区块链框架与推荐系统之间的协同作用预计将培养出一个更加参与、高效和满意的供应链生态系统。在 30% 的使用案例中，该模型大大加强了监控，在四分之一的使用案例中支持透明度。它还能将漏洞案例减少 20%。库存管理得到明显改善，过量库存减少了 25%，证实了所建议的混合区块链方法的有效性。

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引用次数: 0

D-VRE: From a Jupyter-enabled private research environment to decentralized collaborative research ecosystem D-VRE：从木星支持的私人研究环境到分散的合作研究生态系统

IF 6.9 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Blockchain-Research and Applications

Pub Date : 2025-03-01 Epub Date: 2024-12-16 DOI: 10.1016/j.bcra.2024.100244

Yuandou Wang , Sheejan Tripathi , Siamak Farshidi , Zhiming Zhao

Today, scientific research is increasingly becoming data-centric and compute-intensive, relying on data and models across distributed sources. However, challenges still exist in the traditional cooperation mode, given the high storage and computing costs, geolocation barriers, and local confidentiality regulations. The Jupyter environment has recently emerged and evolved into a vital virtual research environment for scientific computing, which researchers can use to scale computational analyses up to larger datasets and high-performance computing resources. Nevertheless, existing approaches lack robust support of a decentralized cooperation mode to unlock the full potential of decentralized collaborative scientific research, e.g., seamlessly secure data sharing. In this work, we change the basic structure and legacy norms of current research environments via the seamless integration of Jupyter with Ethereum blockchain capabilities. As such, it creates a Decentralized Virtual Research Environment (D-VRE) from private computational notebooks to a decentralized collaborative research ecosystem. We propose a novel architecture for the D-VRE and prototype some essential D-VRE elements for enabling secure data sharing with decentralized identity, user-centric agreement-making, membership, and research asset management. To validate our method, we conduct an experimental study to test all functionalities of D-VRE smart contracts and their gas consumption. In addition, we deploy the D-VRE prototype on a test net of the Ethereum blockchain for demonstration. The feedback from the studies showcases the current prototype's usability, ease of use, and potential, and suggests further improvements.

如今，科学研究正日益成为以数据为中心和计算密集型的研究，依赖于分布式来源的数据和模型。然而，由于存储和计算成本高昂、地理位置障碍和地方保密规定等原因，传统的合作模式仍然存在挑战。Jupyter 环境最近出现并发展成为科学计算的重要虚拟研究环境，研究人员可以利用它将计算分析扩展到更大的数据集和高性能计算资源。然而，现有的方法缺乏对分散式合作模式的有力支持，无法充分释放分散式合作科学研究的潜力，例如无缝安全数据共享。在这项工作中，我们通过将 Jupyter 与以太坊区块链功能无缝集成，改变了当前研究环境的基本结构和传统规范。因此，它创建了一个去中心化虚拟研究环境（D-VRE），从私人计算笔记本到去中心化协作研究生态系统。我们为 D-VRE 提出了一种新颖的架构，并对一些基本的 D-VRE 元素进行了原型设计，以便通过去中心化身份、以用户为中心的协议制定、成员资格和研究资产管理实现安全的数据共享。为了验证我们的方法，我们进行了一项实验研究，以测试 D-VRE 智能合约的所有功能及其耗气量。此外，我们还在以太坊区块链测试网上部署了 D-VRE 原型，以进行演示。研究反馈展示了当前原型的可用性、易用性和潜力，并提出了进一步改进的建议。

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引用次数: 0

SSI-MedRx: A fraud-resilient healthcare system based on blockchain and SSI SSI- medrx：基于区块链和SSI的抗欺诈医疗保健系统

IF 6.9 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Blockchain-Research and Applications

Pub Date : 2025-03-01 Epub Date: 2024-12-13 DOI: 10.1016/j.bcra.2024.100242

Meriem Guerar , Mauro Migliardi , Enrico Russo , Djamel Khadraoui , Alessio Merlo

Today, healthcare fraud poses a significant issue, encompassing everything from falsified billing claims and phantom services to the excessive prescription of opioid medications and medical identity theft. These deceptive activities cause substantial financial losses, erode patient trust, compromise healthcare quality, and threaten patient safety. In this paper, we introduce SSI-MedRx, a healthcare system based on blockchain technology and Self-Sovereign Identity (SSI). It is designed to ensure cross-border interoperability, preserve patient privacy, and prevent challenging healthcare frauds, including medical identity theft, phantom billing, kickbacks, and opioid overprescribing. By design, our system empowers patients by granting them complete control over their personal and health data. This shift toward patient-centric data management can potentially reduce the risk of data breaches, enhance care coordination, and improve overall healthcare outcomes.

今天，医疗保健欺诈构成了一个重大问题，从伪造的账单索赔和虚假服务到阿片类药物的过度处方和医疗身份盗窃，无所不包。这些欺诈活动造成了巨大的经济损失，侵蚀了患者的信任，损害了医疗保健质量，并威胁到患者的安全。本文介绍了一种基于区块链技术和自我主权身份（Self-Sovereign Identity， SSI）的医疗保健系统SSI- medrx。它旨在确保跨境互操作性，保护患者隐私，并防止具有挑战性的医疗保健欺诈，包括医疗身份盗窃，虚假账单，回扣和阿片类药物过量处方。通过设计，我们的系统授权患者完全控制他们的个人和健康数据。这种向以患者为中心的数据管理的转变可以潜在地降低数据泄露的风险，增强护理协调，并改善整体医疗保健结果。

引用次数: 0

Backtesting framework for concentrated liquidity market makers on Uniswap V3 decentralized exchange 针对Uniswap V3去中心化交易所集中流动性做市商的回测框架

IF 6.9 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Blockchain-Research and Applications

Pub Date : 2025-03-01 Epub Date: 2025-01-02 DOI: 10.1016/j.bcra.2024.100256

Andrey Urusov , Rostislav Berezovskiy , Yury Yanovich

Decentralized Finance (DeFi) has revolutionized the financial landscape, with protocols like Uniswap offering innovative automated market-making mechanisms. This article explores the development of a backtesting framework specifically tailored for Concentrated Liquidity Market Makers (CLMMs). The focus is on leveraging the liquidity distribution approximated using a parametric model to estimate the rewards within liquidity pools. The article details the design, implementation, and insights derived from this novel approach to backtesting within the context of Uniswap V3. The developed backtester was successfully utilized to assess reward levels across several pools using historical data from 2023 (pools Uniswap V3 for pairs of altcoins, stablecoins, and USDC/ETH with different fee levels). Moreover, the error in modeling the level of rewards for the period under review for each pool was less than 1%. This demonstrated the effectiveness of the backtester in quantifying liquidity pool rewards and its potential in estimating revenues of Liquidity Provider (LP) as part of the pool rewards, which is the focus of our next research. The backtester serves as a tool to simulate trading strategies and liquidity provision scenarios, providing a quantitative assessment of potential returns for LPs. By incorporating statistical tools to mirror CLMM pool liquidity dynamics, this framework can be further leveraged for strategy enhancement and risk evaluation for LPs operating within decentralized exchanges.

去中心化金融（DeFi）已经彻底改变了金融格局，像Uniswap这样的协议提供了创新的自动化做市机制。本文探讨了专门为集中流动性做市商（clmm）量身定制的回测框架的开发。重点是利用使用参数模型近似的流动性分布来估计流动性池内的奖励。本文详细介绍了在Uniswap V3上下文中这种新颖的回测方法的设计、实现和见解。开发的backtester成功地利用2023年的历史数据评估了几个矿池的奖励水平（Uniswap V3矿池用于不同费用水平的山寨币、稳定币和USDC/ETH）。此外，在评估期间对每个池的奖励水平进行建模的误差小于1%。这证明了回溯测试在量化流动性池奖励方面的有效性，以及它在估计流动性提供者（LP）收入作为池奖励的一部分方面的潜力，这是我们下一步研究的重点。backtester作为模拟交易策略和流动性提供场景的工具，为有限合伙人提供潜在回报的定量评估。通过整合统计工具来反映CLMM池流动性动态，该框架可以进一步用于在分散交易所中运营的有限合伙人的策略增强和风险评估。

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引用次数: 0

Blockchain-enabled secure and authentic Nash equilibrium strategies for heterogeneous networked hub of electric vehicle charging stations 电动汽车充电站异构网络集线器的区块链安全和真实纳什均衡策略

IF 6.9 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Blockchain-Research and Applications

Pub Date : 2024-12-01 Epub Date: 2024-07-23 DOI: 10.1016/j.bcra.2024.100223

Desh Deepak Sharma , S.N. Singh , Jeremy Lin

In the networked enlarged electric vehicle (EV) charging infrastructures, the security and authenticity of the stakeholders involved in the EV energy market pool are prime important. This paper proposes an EV network hub (EVNH) comprising EVs, EV aggregators (EVAs), and charging nodes in the networked EV energy market pool. The various EVAs implement different heterogeneous blockchains. The EVNH facilitates blockchain-based secure and resilient energy trading under grid to vehicle and vehicle to grid systems. The paper emphasizes interoperability challenges involving different blockchains to communicate and transfer assets or data between them. We suggest secure and trustworthy energy trading across various EVAs using multiple EV tokens for EV energy trading through cross-chain communications. The EVAs consider a Nash equilibrium-seeking strategy to find the Nash equilibrium in the noncooperative game of EVAs. The effectiveness of the proposed EVNH is tested using MATLAB, Solidity, and Python software.

在网络化的大型电动汽车充电基础设施中，电动汽车能源市场池中利益相关者的安全性和真实性至关重要。本文提出了一种由电动汽车、电动汽车聚合器和充电节点组成的电动汽车网络集线器（EVNH）。各种eva实现不同的异构区块链。EVNH促进了电网到车辆和车辆到电网系统下基于区块链的安全和弹性能源交易。本文强调了涉及不同区块链之间通信和传输资产或数据的互操作性挑战。我们建议通过跨链通信使用多个EV令牌进行EV能源交易，从而在各种EV之间进行安全可靠的能源交易。在EVAs的非合作博弈中，EVAs考虑纳什均衡寻求策略来寻找Nash均衡。使用MATLAB、Solidity和Python软件对所提出的EVNH的有效性进行了测试。

引用次数: 0

nPPoS: Non-interactive practical proof-of-storage for blockchain nPPoS：区块链非交互式实用存储证明

IF 6.9 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Blockchain-Research and Applications

Pub Date : 2024-12-01 Epub Date: 2024-07-19 DOI: 10.1016/j.bcra.2024.100221

Jun Wook Heo, Gowri Ramachandran, Raja Jurdak

Blockchain full nodes are pivotal for transaction availability, as they store the entire ledger, but verifying their storage integrity faces challenges from malicious remote storage attacks such as Sybil, outsourcing, and generation attacks. However, there is no suitable proof-of-storage solution for blockchain full nodes to ensure a healthy number of replicas of the ledger. Existing proof-of-storage solutions are designed for general-purpose settings where a data owner uses secret information to verify storage, rendering them unsuitable for blockchain where proof-of-storage must be fast, publicly verifiable, and data owner-agnostic. This paper introduces a decentralised and quantum-resistant solution named Non-interactive Practical Proof of Storage (nPPoS) with an asymmetric encoding and decoding scheme for fast and secure PoStorage and Zero-Knowledge Scalable Transparent Arguments of Knowledge (zk-STARKs) for public variability in blockchain full nodes. The algorithm with asymmetric times for encoding and decoding creates unique block replicas and corresponding proofs for each storage node to mitigate malicious remote attacks and minimise performance degradation. The intentional resource-intensive encoding deters attacks, while faster decoding minimises performance overhead. Through zk-STARKs, nPPoS achieves public verifiability, enabling one-to-many verification for scalability, quantum resistance and decentralisation. It also introduces a two-phase randomisation technique and a time-weighted trustworthiness measurement for scalability and adaptability.

区块链全节点是交易可用性的关键，因为它们存储了整个账本，但验证其存储完整性面临着恶意远程存储攻击（如 Sybil、外包和生成攻击）的挑战。然而，目前还没有合适的区块链全节点存储证明解决方案来确保账本有健康的副本数量。现有的存储证明解决方案是为数据所有者使用秘密信息验证存储的通用设置而设计的，因此不适合区块链，因为区块链的存储证明必须快速、可公开验证，并且与数据所有者无关。本文介绍了一种名为 "非交互式实用存储证明（nPPoS）"的去中心化和抗量子解决方案，它采用非对称编码和解码方案，用于快速、安全的 PoStorage 和零知识可扩展透明知识论证（zk-STARKs），以实现区块链全节点的公共可变性。该算法的编码和解码时间不对称，为每个存储节点创建唯一的区块副本和相应的证明，以减轻恶意远程攻击并最大限度地减少性能下降。有意识的资源密集型编码可阻止攻击，而更快的解码可将性能开销降至最低。通过zk-STARKs，nPPoS实现了公共可验证性，实现了一对多的验证，从而实现了可扩展性、量子抗性和去中心化。它还引入了两阶段随机化技术和时间加权可信度测量，以实现可扩展性和适应性。

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引用次数: 0

A review on deep anomaly detection in blockchain 区块链深部异常检测综述

IF 6.9 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Blockchain-Research and Applications

Pub Date : 2024-12-01 Epub Date: 2024-08-06 DOI: 10.1016/j.bcra.2024.100227

Oussama Mounnan , Otman Manad , Larbi Boubchir , Abdelkrim El Mouatasim , Boubaker Daachi

The last few years have witnessed the widespread use of blockchain technology in several works because of its effectiveness in terms of privacy, security, and trustworthiness. However, the challenges of cyber-attacks represent a real threat to systems based on this technology. The resort to the systems of anomaly detection focused on deep learning, also called deep anomaly detection, is an appropriate and efficient means to tackle cyber-attacks on the blockchain. This paper provides an overview of the blockchain technology concept, including its characteristics, challenges and limitations, and its system taxonomy. Numerous blockchain cyber-attacks are discussed, such as 51% attacks, selfish mining attacks, double spending attacks, and Sybil attacks. Furthermore, we survey an overview of deep anomaly detection systems with their challenges and unresolved issues. In addition, this article gives a glimpse of various deep learning approaches implemented for anomaly detection in the blockchain environment and presents several methods that enhance the security features of anomaly detection systems. Finally, we discuss the benefits and drawbacks of these recent advanced approaches in light of three categories—discriminative learning, generative learning, and hybrid learning—with other methods based on graphs, and we highlight the ability of the proposed approaches to perform real-time anomaly detection.

由于区块链技术在隐私、安全性和可信赖性方面的有效性，在过去几年见证了区块链技术在一些工作中的广泛使用。然而，网络攻击的挑战对基于该技术的系统构成了真正的威胁。以深度学习为核心的异常检测系统，也称为深度异常检测，是应对bb0网络攻击的一种合适而有效的手段。本文概述了区块链技术概念，包括区块链技术的特点、面临的挑战和局限性，以及区块链技术的系统分类。讨论了许多区块链网络攻击，如51%攻击、自私挖矿攻击、双重支出攻击和Sybil攻击。此外，我们概述了深层异常检测系统的挑战和未解决的问题。此外，本文还简要介绍了区块链环境中用于异常检测的各种深度学习方法，并介绍了几种增强异常检测系统安全特性的方法。最后，我们讨论了这些最新的先进方法的优点和缺点，根据三个类别-判别学习，生成学习和混合学习-与其他基于图的方法，我们强调了所提出的方法执行实时异常检测的能力。

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引用次数: 0

Blockchain-based crowdsourcing for human intelligence tasks with dual fairness 基于区块链的人类智能任务众包具有双重公平性

IF 6.9 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Blockchain-Research and Applications

Pub Date : 2024-12-01 Epub Date: 2024-06-25 DOI: 10.1016/j.bcra.2024.100213

Yihuai Liang , Yan Li , Byeong-Seok Shin

Human intelligence tasks (HITs), such as labeling images for machine learning, are widely utilized for crowdsourcing human knowledge. Centralized crowdsourcing platforms face challenges of a single point of failure and a lack of service transparency. Existing blockchain-based crowdsourcing approaches overlook the low scalability problem of permissionless blockchains or inconveniently rely on existing ground-truth data as the root of trust in evaluating the quality of workers' answers. We propose a blockchain-based crowdsourcing scheme for ensuring dual fairness (i.e., preventing false reporting and free riding) and improving on-chain efficiency concerning on-chain storage and smart contract computation. The proposed scheme does not rely on trusted authorities but rather depends on a public blockchain to guarantee dual fairness. An efficient and publicly verifiable truth discovery scheme is designed based on majority voting and cryptographic accumulators. This truth discovery scheme aims at inferring ground truth from workers' answers. The ground truth is further utilized to estimate the quality of workers' answers. Additionally, a novel blockchain-based protocol is designed to further reduce on-chain costs while ensuring truthfulness. The scheme has O(n) complexity for both on-chain storage and smart contract computation, regardless of the number of questions, where n denotes the number of workers. Formal security analysis is provided, and extensive experiments are conducted to evaluate its effectiveness and performance.

人类智能任务（HIT），如为机器学习标记图像，被广泛用于人类知识的众包。集中式众包平台面临着单点故障和缺乏服务透明度的挑战。现有的基于区块链的众包方法忽视了无权限区块链的低可扩展性问题，或者不便依赖现有的地面实况数据作为评估工人回答质量的信任根源。我们提出了一种基于区块链的众包方案，以确保双重公平性（即防止虚假报告和搭便车），并提高链上存储和智能合约计算的效率。所提出的方案不依赖于可信机构，而是依靠公共区块链来保证双重公平性。基于多数投票和加密累积器，设计了一种高效且可公开验证的真相发现方案。该真相发现方案旨在从工人的答案中推断出基本真相。基础真相可进一步用于估算工人答案的质量。此外，还设计了一种基于区块链的新型协议，以进一步降低链上成本，同时确保真实性。该方案的链上存储和智能合约计算复杂度均为 O(n)，与问题数量无关，其中 n 表示工人数量。我们提供了正式的安全分析，并进行了大量实验来评估其有效性和性能。

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引用次数: 0

PrivySeC: A secure and privacy-compliant distributed framework for personal data sharing in IoT ecosystems PrivySeC：物联网生态系统中个人数据共享的安全且符合隐私标准的分布式框架

IF 6.9 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Blockchain-Research and Applications

Pub Date : 2024-12-01 Epub Date: 2024-07-09 DOI: 10.1016/j.bcra.2024.100220

Imran Makhdoom, Mehran Abolhasan, Justin Lipman, Massimo Piccardi, Daniel Franklin

The contemporary era is experiencing an unprecedented dependence on data generated by individuals via an array of interconnected devices constituting the Internet of Things (IoT). The information amassed through IoT devices serves many objectives, including prescriptive analytics and predictive maintenance, preemptive healthcare measures, disaster mitigation, operational efficiency, and increased yield. In contrast, most applications or systems that rely on user-generated data to fulfill their business objectives face challenges in adhering to privacy protocols. Consequently, users are exposed to many privacy risks. Such infringements upon privacy provisions give rise to apprehensions regarding the authenticity of the processed data. Hence, this paper presents the weaknesses and challenges in current practices and proposes “PrivySeC”, a Distributed Ledger Technology (DLT)-based framework for privacy preserving and secure sharing of personally and non-personally identifiable information. The security analysis indicates that the proposed solution ensures data privacy by design and complies with most of the requirements mandated by various privacy regulations. Similarly, PrivySeC promises low transaction latency and provides high throughput. Although we have created a privacy-preserving solution for sharing smart farm data, it can be customized to meet the specific privacy requirements of individual applications.

当今时代，人们对个人通过构成物联网（IoT）的一系列互联设备产生的数据的依赖程度前所未有。通过物联网设备积累的信息可实现许多目标，包括规范性分析和预测性维护、先发制人的医疗保健措施、减灾、运营效率和提高产量。相比之下，大多数依赖用户生成的数据来实现业务目标的应用程序或系统在遵守隐私协议方面都面临挑战。因此，用户面临许多隐私风险。这种对隐私条款的侵犯会引起人们对所处理数据真实性的担忧。因此，本文介绍了当前实践中的弱点和挑战，并提出了 "PrivySeC"--一种基于分布式账本技术（DLT）的框架，用于保护隐私并安全共享个人和非个人身份信息。安全分析表明，拟议的解决方案从设计上确保了数据隐私，并符合各种隐私法规规定的大多数要求。同样，PrivySeC 承诺交易延迟低，吞吐量高。虽然我们已经为共享智能农场数据创建了一个保护隐私的解决方案，但它还可以进行定制，以满足个别应用的特定隐私要求。

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引用次数: 0