Blockchain-Research and Applications最新文献_第3页

Navigating blockchain adoption: An examination of actor alignment with the Diffusion of Innovation principles 引导区块链采用：对创新扩散原则下的行动者结盟的考察

IF 6.9 3区计算机科学

Blockchain-Research and Applications Pub Date : 2024-12-01 DOI: 10.1016/j.bcra.2024.100228

Shipra Chhina , Mehmood Chadhar , Selena Firmin , Arthur Tatnall

{"title":"Navigating blockchain adoption: An examination of actor alignment with the Diffusion of Innovation principles","authors":"Shipra Chhina , Mehmood Chadhar , Selena Firmin , Arthur Tatnall","doi":"10.1016/j.bcra.2024.100228","DOIUrl":"10.1016/j.bcra.2024.100228","url":null,"abstract":"<div><div>Blockchain technology has garnered substantial interest due to its capacity to transform numerous industries by amplifying transparency and bolstering security measures. Despite the increasing interest, there is a void in existing literature regarding the alignment of actors with the Diffusion of Innovation (DOI) principles in the context of blockchain adoption. This gap restricts comprehension of the factors influencing adoption. This research addresses this void by investigating how actors align with the DOI principles in making decisions about blockchain adoption. The DOI model is combined with the innovation translation concept derived from Actor-Network Theory (ANT) to explore these complex dynamics in more detail. The results indicate that the decision-making process for blockchain adoption corresponds to the knowledge, persuasion, and decision stages, mirroring the phases found in the innovation translation approach. This research offers theoretical insights and practical knowledge that can be beneficial to individuals and organisations looking to promote the successful implementation of blockchain technology.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 4","pages":"Article 100228"},"PeriodicalIF":6.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data-driven price trends prediction of Ethereum: A hybrid machine learning and signal processing approach 数据驱动的以太坊价格趋势预测：混合机器学习和信号处理方法

IF 6.9 3区计算机科学

Blockchain-Research and Applications Pub Date : 2024-12-01 DOI: 10.1016/j.bcra.2024.100231

Ebenezer Fiifi Emire Atta Mills , Yuexin Liao , Zihui Deng

{"title":"Data-driven price trends prediction of Ethereum: A hybrid machine learning and signal processing approach","authors":"Ebenezer Fiifi Emire Atta Mills , Yuexin Liao , Zihui Deng","doi":"10.1016/j.bcra.2024.100231","DOIUrl":"10.1016/j.bcra.2024.100231","url":null,"abstract":"<div><div>Due to recent fluctuations in cryptocurrency prices, Ethereum has gained recognition as an investment asset. Given its volatile nature, there is a significant demand for accurate predictions to guide investment choices. This paper examines the most influential features of the daily price trends of Ethereum using a novel approach that combines the Random Forest classifier and the ReliefF method. Integrating the Adaptive Neuro-Fuzzy Inference System (ANFIS) and Short-Time Fourier Transform (STFT) results in high accuracy and performance metrics for Ethereum price trend predictions. This method stands out from prior research, primarily based on time series analysis, by enhancing pattern recognition across time and frequency domains. This adaptability leads to better prediction capabilities with accuracy reaching 76.56% in a highly chaotic market such as cryptocurrency. The STFT's ability to reveal cyclical trends in Ethereum's price provides valuable insights for the ANFIS model, leading to more precise predictions and addressing a notable gap in cryptocurrency research. Hence, compared to models in literature such as Gradient Boosting, Long Short-Term Memory, Random Forest, and Extreme Gradient Boosting, the proposed model adapts to complex data patterns and captures intricate non-linear relationships, making it well-suited for cryptocurrency prediction.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 4","pages":"Article 100231"},"PeriodicalIF":6.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Blockchain-enhanced hydrogen fuel production and distribution for sustainable energy management 区块链增强氢燃料生产和分配，实现可持续能源管理

IF 6.9 3区计算机科学

Blockchain-Research and Applications Pub Date : 2024-12-01 DOI: 10.1016/j.bcra.2024.100229

Yash Madhwal , Yury Yanovich , Matteo Coveri , Ninoslav Marina

{"title":"Blockchain-enhanced hydrogen fuel production and distribution for sustainable energy management","authors":"Yash Madhwal , Yury Yanovich , Matteo Coveri , Ninoslav Marina","doi":"10.1016/j.bcra.2024.100229","DOIUrl":"10.1016/j.bcra.2024.100229","url":null,"abstract":"<div><div>Renewable energy projects, particularly wind and solar farms, have garnered significant attention as a potential solution to global energy challenges. Despite the energy production obstacles, the steady availability of fossil fuels continues to compete due to established distribution systems, as societies increasingly rely on electricity. Hydrogen fuel has emerged as a promising avenue for energy production, storage, and distribution, involving converting surplus renewable electricity into hydrogen through electrolysis, storing it, and distributing it. Our novel approach leverages blockchain technology to enhance the efficiency and traceability of hydrogen fuel production, offering a unique synergy of transparency, security, and decentralized governance. We showcase its viability and effectiveness using the ERC-1155 token standard to tokenize renewable resources and convert them into hydrogen fuel. Within our tokenized fuel blockchain architecture, we simulate the forecasted growth in hydrogen production and vehicle demand, highlighting our approach's efficiency, traceability, and transparency. This integration showcases the potential for a sustainable hydrogen fuel ecosystem. The gas consumption data analysis indicates that the daily gas consumption remains below 194 million Gas for refilling 3245 vehicles (including the cost of one-time contract deployment), demonstrating the feasibility and efficiency of our approach.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 4","pages":"Article 100229"},"PeriodicalIF":6.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding the market potential of crypto mining with quantum mechanics and golden cut-based picture fuzzy rough sets 利用量子力学和基于黄金分割的图像模糊粗糙集了解加密货币挖矿的市场潜力

IF 6.9 3区计算机科学

Blockchain-Research and Applications Pub Date : 2024-12-01 DOI: 10.1016/j.bcra.2024.100230

Hasan Dincer , Serhat Yüksel , Gabor Pinter , Alexey Mikhaylov

{"title":"Understanding the market potential of crypto mining with quantum mechanics and golden cut-based picture fuzzy rough sets","authors":"Hasan Dincer , Serhat Yüksel , Gabor Pinter , Alexey Mikhaylov","doi":"10.1016/j.bcra.2024.100230","DOIUrl":"10.1016/j.bcra.2024.100230","url":null,"abstract":"<div><div>Significant improvements should be made to increase the market potential of crypto mining. However, it is not financially feasible to make too many improvements because all actions lead to cost increases. In this context, it is necessary to determine the factors that most affect this process. Accordingly, the purpose of this study is to understand the main indicators that can improve the market potential of crypto mining activities. Therefore, the main research question of this study is to identify which factors should be prioritized while generating appropriate strategies to increase these activities. In this context, a new model has been constructed to answer this question. First, significant indicators are identified based on the evaluation of the literature. After that, these factors are weighted via quantum picture fuzzy rough set-based M-SWARA. The main contribution of this study is the generation of a new decision-making model to understand the key issues related to the market potential of crypto mining activities. The M-SWARA model is taken into consideration for criteria weighting. Owing to this issue, the causal relationships between the items can be identified. The findings demonstrate that reducing energy costs emerges as the most important factor for improving the market potential of the crypto mining industry. Furthermore, technological developments also play an important role in this regard.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 4","pages":"Article 100230"},"PeriodicalIF":6.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating blockchain technology within an information ecosystem 在信息生态系统中集成区块链技术

IF 6.9 3区计算机科学

Blockchain-Research and Applications Pub Date : 2024-12-01 DOI: 10.1016/j.bcra.2024.100225

Francesco Salzano , Lodovica Marchesi , Remo Pareschi , Roberto Tonelli

{"title":"Integrating blockchain technology within an information ecosystem","authors":"Francesco Salzano , Lodovica Marchesi , Remo Pareschi , Roberto Tonelli","doi":"10.1016/j.bcra.2024.100225","DOIUrl":"10.1016/j.bcra.2024.100225","url":null,"abstract":"<div><div><strong>Context:</strong> Blockchain-based information ecosystems (BBIEs) are a type of information ecosystem in which blockchain technology is used to provide a trust mechanism among parties and to manage shared business logic, breaking the traditional scheme of information ecosystems dominated by a leading company and leveraging the decentralization of data management, information flow, and business logic.</div><div><strong>Objective:</strong> In this paper, we'd like to propose an architecture and the technical aspects concerning creating a BBIE, underlining the supplied advantages and the logic decomposition among the business and storage components.</div><div><strong>Method:</strong> The requirements are derived from the current needs of the collaborative business and the data collected by surveying practitioners. To meet these needs, we followed the Grounded Theory research approach. We validate our architectural schema against a case study on managing a wine supply chain involving different companies and supervision authorities.</div><div><strong>Results:</strong> The proposed solution integrates blockchain-based applications with the existing information system as a module of the ecosystem, leveraging on the low costs, scalability, and high-level security because of the restricted access to the network.</div><div><strong>Conclusion:</strong> We must go a long way in deepening and refining the possibilities offered by technology in supporting innovative multi-organizational business models. BBIEs can contribute substantially to paving the way in such a direction.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 4","pages":"Article 100225"},"PeriodicalIF":6.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust cooperative spectrum sensing in cognitive radio blockchain network using SHA-3 algorithm 基于SHA-3算法的认知无线电区块链网络鲁棒协同频谱感知

IF 6.9 3区计算机科学

Blockchain-Research and Applications Pub Date : 2024-12-01 DOI: 10.1016/j.bcra.2024.100224

Evelyn Ezhilarasi I, J. Christopher Clement

{"title":"Robust cooperative spectrum sensing in cognitive radio blockchain network using SHA-3 algorithm","authors":"Evelyn Ezhilarasi I, J. Christopher Clement","doi":"10.1016/j.bcra.2024.100224","DOIUrl":"10.1016/j.bcra.2024.100224","url":null,"abstract":"<div><div>Cognitive radio network (CRN) uses the available spectrum resources wisely. Spectrum sensing is the central element of a CRN. However, spectrum sensing is susceptible to multiple security breaches caused by malicious users (MUs). These attackers attempt to change the sensed result in order to decrease network performance. In our proposed approach, with the help of blockchain-based technology, the fusion center is able to detect and prevent such criminal activities. The method of our model makes use of blockchain-based MU detection with SHA-3 hashing and energy detection-based spectrum sensing. The detection strategy takes place in two stages: block updation phase and iron out phase. The simulation results of the proposed method demonstrate 3.125%, 6.5%, and 8.8% more detection probability at −5 dB signal-to-noise ratio (SNR) in the presence of MUs, when compared to other methods like equal gain combining (EGC), blockchain-based cooperative spectrum sensing (BCSS), and fault-tolerant cooperative spectrum sensing (FTCSS), respectively. Thus, the security of cognitive radio blockchain network is proved to be significantly improved.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 4","pages":"Article 100224"},"PeriodicalIF":6.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A prototype model of zero trust architecture blockchain with EigenTrust-based practical Byzantine fault tolerance protocol to manage decentralized clinical trials 基于特征信任的实用拜占庭容错协议的零信任架构区块链原型模型，用于分散临床试验的管理

IF 6.9 3区计算机科学

Blockchain-Research and Applications Pub Date : 2024-12-01 DOI: 10.1016/j.bcra.2024.100232

Ashok Kumar Peepliwal , Hari Mohan Pandey , Surya Prakash , Sudhinder Singh Chowhan , Vinesh Kumar , Rahul Sharma , Anand A. Mahajan

{"title":"A prototype model of zero trust architecture blockchain with EigenTrust-based practical Byzantine fault tolerance protocol to manage decentralized clinical trials","authors":"Ashok Kumar Peepliwal , Hari Mohan Pandey , Surya Prakash , Sudhinder Singh Chowhan , Vinesh Kumar , Rahul Sharma , Anand A. Mahajan","doi":"10.1016/j.bcra.2024.100232","DOIUrl":"10.1016/j.bcra.2024.100232","url":null,"abstract":"<div><div>The COVID-19 pandemic necessitated the emergence of Decentralized Clinical Trials (DCTs) due to patient retention, accelerating trials, improving data accessibility, enabling virtual care, and facilitating seamless communication through integrated systems. However, integrating systems in DCTs exposes clinical data to potential security threats, making them susceptible to theft at any stage, a high risk of protocol deviations, and monitoring issues. To mitigate these challenges, blockchain technology serves as a secure framework, acting as a decentralized ledger, creating an immutable environment by establishing a zero-trust architecture, where data are deemed untrusted until verified. In combination with Internet of Things (IoT)-enabled wearable devices, blockchain secures the transfer of clinical trial data on private blockchains during DCT automation and operations. This paper proposes a prototype model of the zero-Trust Architecture Blockchain (z-TAB) to integrate patient-generated clinical trial data during DCT operation management. The EigenTrust-based Practical Byzantine Fault Tolerance (T-PBFT) algorithm has been incorporated as a consensus protocol, leveraging Hyperledger Fabric. Furthermore, the IoT has been integrated to streamline data processing among stakeholders within the blockchain platforms. Rigorous evaluation has been done for immutability, privacy and security, mutual consensus, transparency, accountability, tracking and tracing, and temperature‒humidity control parameters.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 4","pages":"Article 100232"},"PeriodicalIF":6.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Looking for stability in proof-of-stake based consensus mechanisms 寻找基于股权证明的共识机制的稳定性

IF 6.9 3区计算机科学

Blockchain-Research and Applications Pub Date : 2024-12-01 DOI: 10.1016/j.bcra.2024.100222

Alberto Leporati, Lorenzo Rovida

引用次数: 0

A deep decentralized privacy-preservation framework for online social networks 一个深度分散的在线社交网络隐私保护框架

IF 6.9 3区计算机科学

Blockchain-Research and Applications Pub Date : 2024-12-01 DOI: 10.1016/j.bcra.2024.100233

Samuel Akwasi Frimpong , Mu Han , Emmanuel Kwame Effah , Joseph Kwame Adjei , Isaac Hanson , Percy Brown

{"title":"A deep decentralized privacy-preservation framework for online social networks","authors":"Samuel Akwasi Frimpong , Mu Han , Emmanuel Kwame Effah , Joseph Kwame Adjei , Isaac Hanson , Percy Brown","doi":"10.1016/j.bcra.2024.100233","DOIUrl":"10.1016/j.bcra.2024.100233","url":null,"abstract":"<div><div>This paper addresses the critical challenge of privacy in Online Social Networks (OSNs), where centralized designs compromise user privacy. We propose a novel privacy-preservation framework that integrates blockchain technology with deep learning to overcome these vulnerabilities. Our methodology employs a two-tier architecture: the first tier uses an elitism-enhanced Particle Swarm Optimization and Gravitational Search Algorithm (ePSOGSA) for optimizing feature selection, while the second tier employs an enhanced Non-symmetric Deep Autoencoder (e-NDAE) for anomaly detection. Additionally, a blockchain network secures users’ data via smart contracts, ensuring robust data protection. When tested on the NSL-KDD dataset, our framework achieves 98.79% accuracy, a 10% false alarm rate, and a 98.99% detection rate, surpassing existing methods. The integration of blockchain and deep learning not only enhances privacy protection in OSNs but also offers a scalable model for other applications requiring robust security measures.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 4","pages":"Article 100233"},"PeriodicalIF":6.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A blockchain-based platform for incentivizing customer reviews in the grocery industry 一个基于区块链的平台，用于激励杂货行业的客户评论

IF 6.9 3区计算机科学

Blockchain-Research and Applications Pub Date : 2024-12-01 DOI: 10.1016/j.bcra.2024.100226

Tania Bruno , Ettore Etenzi , Luca Gualandi , Eraldo Katra , Rosario Pugliese , Alessio Taranto , Francesco Tiezzi

{"title":"A blockchain-based platform for incentivizing customer reviews in the grocery industry","authors":"Tania Bruno , Ettore Etenzi , Luca Gualandi , Eraldo Katra , Rosario Pugliese , Alessio Taranto , Francesco Tiezzi","doi":"10.1016/j.bcra.2024.100226","DOIUrl":"10.1016/j.bcra.2024.100226","url":null,"abstract":"<div><div>Nowadays, user-generated content is pivotal for many companies: people trust other customers' opinions more than any brand advertisement. Brands are aware of this and try to promote and motivate their customers to create high-quality content. However, this way of operating is still at an early stage: there is a lack of fairness, as companies typically do not provide a validation system, or if they do, it is not based on a transparent solution, and often, there is no reward for creating unique and high-quality content. In this paper, we focus on the problem of incentivizing users' creation of content in the form of customer reviews in the online grocery industry. Specifically, we illustrate the solution to the problem devised in the Re-Taled project by relying on blockchain technology. We develop a decentralized ecosystem of consumers, influencers, and manufacturers, where content creators are rewarded for their contribution according to a framework that provides incentives in the form of both reputation and monetization. Blockchain technology is used to certify the content's authenticity and compensate content creators with a cryptographic token. We illustrate the technical choices of the solution together with its software architecture and implemented platform. In particular, we introduce the framework used to validate the trustworthiness of user-generated content and favor fairness and transparency within the platform.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 4","pages":"Article 100226"},"PeriodicalIF":6.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0