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2024年10月16日 10篇

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Ethereum blockchain for electronic health records: securing and streamlining patient management

【Author】 Mole, J. S. Simi Shaji, R. S.

【影响因子】5.058

【主题类别】

区块链应用-实体经济-健康领域

【Abstract】Electronic health records (EHRs) are increasingly replacing traditional paper-based medical records due to their speed, security, and ability to eliminate redundant data. However, challenges such as EHR interoperability and privacy concerns remain unresolved. Blockchain, a distributed ledger technology comprising connected, encrypted data blocks, presents a promising solution. This study explores how blockchain technology can revolutionize hospital EHR management. Our proposed solution securely transfers medical records between patients and doctors using the InterPlanetary File System (IPFS) and the Ethereum platform. Utilizing smart contracts automates data transfers, ensuring patient anonymity and reducing computational complexity while securely storing patient data on the network. Patient records are stored locally on the Ganache server, with the front end managed using HTML, CSS, ReactJS, and JavaScript, and the backend developed in Solidity. Blockchain technologies combined with Role- Based access control instead of attribute -based access control. The system's throughput increases linearly with the number of users and requests, enhancing the framework's efficiency and scalability. The minimum recorded latency is 14 ms.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】EHR decentralized healthcare; Ethereum; scalability; interoperability; data privacy

【发表时间】2024

【收录时间】2024-10-16

【文献类型】 案例研究

【DOI】 10.3389/fmed.2024.1434474

Digital transformation of the future of forestry: an exploration of key concepts in the principles behind Forest 4.0

【Author】 Damasevicius, Robertas Mozgeris, Gintautas Kurti, Arianit Maskeliunas, Rytis

【影响因子】4.332

【主题类别】

区块链应用-实体经济-自然资源

【Abstract】This paper looks at the incorporation of blockchain and Internet of Things (IoT) technologies into Forest 4.0, a sector that harnesses advanced tools such as artificial intelligence and big data for efficient and sustainable forest monitoring and management. The synergy of blockchain and IoT has gained significant attention, offering a secure and decentralized framework for data management, traceability, and supply chain oversight. The provided use cases demonstrate how these technologies improve forest practices, with insight into smart contract implementation and decentralized systems for sustainable forest management. The major findings imply that digital technologies such as blockchain, IoT, AI, WSNs, etc. can help improve forest management sustainability, efficiency and transparency, and integration of these technologies can provide significant information for decision-making and resource allocation, as well as improve supply chain transparency and sustainable forest practices.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Forest 4.0; smart forestry; digital transformation; forestry sector; sustainability; stakeholder perceptions

【发表时间】2024

【收录时间】2024-10-16

【文献类型】 案例研究

【DOI】 10.3389/ffgc.2024.1424327

A private Ethereum blockchain for organ donation and transplantation based on intelligent smart contracts

【Author】 Sitharamulu, V. Sucharitha, G. Mohanty, Sachi Nandan Janbhasha, Shaik Kothandaraman, D.

【影响因子】4.195

【主题类别】

区块链应用-实体经济-医疗领域

区块链技术-核心技术-智能合约

【Abstract】Modern organ transplant and donor procedures present numerous necessities and also obstacles related to Organ procurement, their delivery, and transplanting are all steps in the enrolment, matchmaking, and disposal process. These processes must adhere to various legal, clinical, ethical, and technical limitations. Consequently, there is a need for a comprehensive organ donation and transplantation system that ensures fairness, efficiency, and an improved experience for patients, ultimately fostering trust in the system. In this research paper, we introduce a ground-breaking solution based on the utilization of a private Ethereum blockchain. This approach revolutionizes the administration of organ gift and transplantation by establishing a copiously reorganized, sheltered, appreciable, auditable, cloistered, as well as truthful framework. Our solution is built upon the development of intelligent smart contracts and is accompanied by the presentation of six sophisticated algorithms, including their thorough enactment, trying, and endorsement procedures. To gauge the effectiveness of our projected result, we undertake an extensive evaluation encompassing privacy, security, and confidentiality analyses. Additionally, we conduct a comprehensive comparison against existing solutions to highlight the advantages and advancements offered by our system. By leveraging the potential of blockchain technology and incorporating smart contracts, our solution addresses the complexities and limitations that have plagued organ donation and transplantation systems. This research aims to enhance the overall efficacy and slide of the procedure, ultimately benefiting disease one in require of life-saving tissue relocates.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Organ Donation; Blockchain Technology; Ethereum Network; Intelligent smart contract; Security

【发表时间】2024

【收录时间】2024-10-16

【文献类型】 案例研究

【DOI】 10.1016/j.eij.2024.100542

Energy-Efficient Intelligence Sharing in Intelligence Networking-Empowered Edge Computing: A Deep Reinforcement Learning Approach

【Author】 Xie, Junfeng Jia, Qingmin Chen, Youxing

【影响因子】3.476

【主题类别】

区块链技术-协同技术-边缘计算

【Abstract】Advanced artificial intelligence (AI) and multi-access edge computing (MEC) technologies facilitate the development of edge intelligence, enabling the intelligence learned from remote cloud to network edge. To achieve automatic decision-making, the training efficiency and accuracy of AI models are crucial for edge intelligence. However, the collected data volume of each network edge node is limited, which may cause the over-fitting of AI models. To improve the training efficiency and accuracy of AI models for edge intelligence, intelligence networking-empowered edge computing (INEEC) is a promising solution, which enables each network edge node to improve its AI models quickly and economically with the help of other network edge nodes' sharing of their learned intelligence. Sharing intelligence among network edge nodes efficiently is essential for INEEC. Thus in this paper, we study the intelligence sharing scheme, which aims to maximize the system energy efficiency while ensuring the latency tolerance via jointly optimizing intelligence requesting strategy, transmission power control and computation resource allocation. The system energy efficiency is defined as the ratio of model performance to energy consumption. Taking into account the dynamic characteristics of edge network conditions, the intelligence sharing problem is modeled as a Markov decision process (MDP). Subsequently, a twin delayed deep deterministic policy gradient (TD3)-based algorithm is designed to automatically make the optimal decisions. Finally, by extensive simulation experiments, it is shown that: 1) compared with DDPG and DQN, the proposed algorithm has a better convergence performance; 2) jointly optimizing intelligence requesting strategy, transmission power control and computation resource allocation helps to improve intelligence sharing efficiency; 3) under different parameter settings, the proposed algorithm achieves better results than the benchmark algorithms.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Intelligence sharing; intelligence networking; intelligence networking; edge computing; edge computing; TD3; TD3; TD3

【发表时间】2024

【收录时间】2024-10-16

【文献类型】 理论模型

【DOI】 10.1109/ACCESS.2024.3469956

Handover-Authentication Scheme for Internet of Vehicles (IoV) Using Blockchain and Hybrid Computing

【Author】 Surapaneni, Praneetha Bojjagani, Sriramulu Maurya, Anup Kumar

【影响因子】3.476

【主题类别】

区块链技术-核心技术-认证机制

区块链应用-实体经济-物联网

【Abstract】The advancements in telecommunications are significantly benefiting the Internet of Vehicles (IoV) in various ways. Minimal latency, faster data transfer, and reduced costs are transforming the landscape of IoV. While these advantages accompany the latest improvements, they also expand cyberspace, leading to security and privacy concerns. Vehicles rely on trusted authorities for registration and authentication processes, resulting in bottleneck issues and communication delays. Moreover, the central trusted authority and intermediate nodes raise doubts regarding transparency, traceability, and anonymity. This paper proposes a novel vehicle authentication handover framework leveraging blockchain, IPFS, and hybrid computing. The framework uses a Proof of Reputation (PoR) consensus mechanism to improve transparency and traceability and the Elliptic Curve Cryptography (ECC) cryptosystem to reduce computational delays. The suggested system assures data availability, secrecy, and integrity while maintaining minimal latency throughout the vehicle re-authentication. Performance evaluations show the system's scalability, with creating keys, encoding, decoding, and registration operations done rapidly. Simulation is performed using SUMO to handle vehicle mobility in an IoV environment. The findings demonstrate the practicality of the proposed framework in vehicular networks, providing a reliable and trustworthy approach for IoV communication.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Authentication; Blockchains; Servers; Security; Internet of Vehicles; Computational modeling; Handover; Edge computing; blockchain; handover authentication; fog server; security; attack vector; Scyther; SUMO

【发表时间】2024

【收录时间】2024-10-16

【文献类型】 理论模型

【DOI】 10.1109/ACCESS.2024.3468473

Blockchain-Based Scalable and Reliable Social Networking Platform

【Author】 Kim, Daun Park, Sejin

【影响因子】3.476

【主题类别】

区块链应用-实体经济-社交媒体

【Abstract】Online social networks (OSN) that gather diverse interests have attracted a vast user base. However, centralized online social networks, which house vast amounts of personal data, are plagued by issues such as user privacy and data breaches, tampering, and single points of failure. The centralization of social networks results in sensitive user information being stored in a single location, making data breaches and leaks capable of simultaneously affecting millions of users who rely on these platforms. Therefore, research into decentralized social networks is crucial. However, blockchain-based social networks present challenges related to resource limitations. This paper proposes a reliable and scalable online social network platform based on blockchain technology. This system ensures the integrity of all content within the social network through the use of blockchain, thereby preventing the risk of breaches and tampering. Through the design of smart contracts and a distributed notification service, it also addresses single points of failure and ensures user privacy by maintaining anonymity. Furthermore, it tackles the scalability concerns associated with blockchain-based systems due to excessive computing resource utilization by improving the off-chain storage structure. By adopting Bloom filters and off-chain storage, it effectively alleviates the burden on on-chain storage. Comparative analysis with related studies demonstrates a minimum of 74% cost savings during post uploads. While the proposed system exhibits slightly slower write performance by 10% compared to existing systems, it showcases 13% faster read performance and achieves an average notification latency of 3 seconds. Thus, this system addresses scalability issues present in blockchain-based systems. It offers a solution that enhances data management not only for online social networks but also for resource-constrained system of blockchain-based IoT environments. By applying this system, data can be managed securely and efficiently.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchains; Social networking (online); Scalability; Data privacy; Smart contracts; Reliability; Privacy; Data integrity; Online social networks; blockchain scalability; decentralized application; data integrity; user privacy

【发表时间】2024

【收录时间】2024-10-16

【文献类型】 案例研究

【DOI】 10.1109/ACCESS.2024.3465665

Blockchain-Based System for Supplier Selection in Sustainable and Leagile Supply Chains

【Author】 Haffar, Samer Ozceylan, Eren

【影响因子】3.476

【主题类别】

区块链应用-实体经济-供应链

【Abstract】Sustainability, leanness, and agility are key paradigms that enhance efficiency, effectiveness, and generate positive social and environmental impacts in supply chains. Supplier selection, a critical process in supply chain management, typically relies on predefined criteria such as cost, quality, and lead time, with the highest-ranking supplier being chosen. However, this process is vulnerable to risks including lack of transparency, fraud, corruption, human errors, and inefficiencies. To address these challenges, we propose a blockchain-based system that automates the supplier selection process. Our system enables users to evaluate suppliers based not only on economic criteria but also on sustainability (social and environmental) and leagility criteria. Additionally, it features a peer-review system where buyers and sellers rate each other, with these ratings integrated into the selection process to enhance transparency and reliability. The system employs a multi-attribute reverse auction to ensure that the most advantageous offer is selected. To mitigate the high costs of blockchain transactions, the system is implemented as an on-chain/off-chain hybrid, running on a local private blockchain. Functional, scalability, and security tests were conducted to evaluate the system's performance, confirming its ability to scale for large-scale selections while remaining secure and free of vulnerabilities. The proposed solution contributes to the literature by addressing key procurement challenges across various sectors, promoting transparent and sustainable supplier selections, and supporting efficient, environmentally and socially responsible procurement practices. Its scalability and adaptability make it suitable for diverse applications, including online auctions and supply chain management, while its flexibility to operate on both private and public blockchain networks allows for broad adoption, enhancing procurement integrity and efficiency in both private sector marketplaces and public tenders.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Supply chains; Blockchains; Sustainable development; Procurement; Costs; Scalability; Resilience; Blockchain; sustainable; leagile; supply chain; supplier selection; multi-attribute reverse auction

【发表时间】2024

【收录时间】2024-10-16

【文献类型】 案例研究

【DOI】 10.1109/ACCESS.2024.3467059

What will be the money of the future? A review essay of Lawrence H. White's Better Money: Gold, Fiat, or Bitcoin?

【Author】 Niles, Raymond C.

【影响因子】0.000

【主题类别】

区块链治理-市场治理-价值识别

【Abstract】Better Money seeks to answer a simple question: If the government treated all potential monies equally, allowing market participants to freely choose, which would they choose as the better money: fiat, gold, or Bitcoin? White dismisses our current system of fiat money owing to its tendency toward inflation and business cycles in the inept hands of central bankers. Then weighing gold versus Bitcoin, he concludes that gold is the better money due to greater price stability. Although both gold and Bitcoin are non-inflationary owing to inherent limits on the creation of new money, Bitcoin's complete supply inflexibility makes it more volatile than gold, the supply of which can be increased or decreased by gold miners according to changes in demand. This reviewer raises the question of whether the rapid flexibility of changes in the quantity of fiduciary money (checking deposits and banknotes issued by banks against holdings of Bitcoin base money) could make the supply of Bitcoin money more responsive to demand, thereby reducing its price volatility, and making it potentially a "better money."

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Bitcoin; Gold; Fiat Money; Fiduciary money; Inflation

【发表时间】2024

【收录时间】2024-10-16

【文献类型】 观点阐述

【DOI】 10.1007/s11138-024-00661-3

Application of Blockchain in Managing Security Challenges Confronting the Adoption of 4IR in Smart Environments

【Author】 Ramahlosi, Maneo Ntseliseng Akanbi, Adeyinka

【影响因子】

【主题类别】

区块链应用-实体经济-网络安全

【Abstract】Occurrences of hacking intentions and privacy violations make digital trust a major challenge. This is true in the smart environment domain, where captured or recorded datasets serve as inputs for predictions and monitoring systems and must comply with many regulations due to the sensitivity of the predictions. This study explores how the application of Blockchain technology/solution, could be used to manage or mitigate the security challenges comforting smart environments and by extension a multi-hazard early warning system. In this paper, the security concerns from the adoption of smart environments are discussed and the mitigating factors are presented. The proposed model utilizes the inherent security features of Blockchain technology to address the security and privacy concerns that arise in data pipelines. The model is designed to ensure data integrity, confidentiality, and authenticity in a decentralized manner. The model is evaluated in a hybrid environment using a prototype implementation and simulation experiments with outcomes that demonstrate advantages over traditional approaches for a tamper-proof and immutable data pipeline for data authenticity and integrity using a confidential ledger.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Security challenges; Internet of Things (IoT); 4IR; Blockchain; Data pipelines

【发表时间】2024

【收录时间】2024-10-16

【文献类型】 案例研究

【DOI】

An interpretable model for large-scale smart contract vulnerability detection

【Author】 Feng, Xia Liu, Haiyang Wang, Liangmin Zhu, Huijuan Sheng, Victor S.

【影响因子】

【主题类别】

区块链治理-技术治理-漏洞检测

【Abstract】Smart contracts hold billions of dollars in digital currency, and their security vulnerabilities have drawn a lot of attention in recent years. Traditional methods for detecting smart contract vulnerabilities rely primarily on symbol execution, which makes them time-consuming with high false positive rates. Recently, deep learning approaches have alleviated these issues but still face several major limitations, such as lack of interpretability and susceptibility to evasion techniques. In this paper, we propose a feature selection method for uplifting modeling. The fundamental concept of this method is a feature selection algorithm, utilizing interpretation outcomes to select critical features, thereby reducing the scales of features. The learning process could be accelerated significantly because of the reduction of the feature size. The experiment shows that our proposed model performs well in six types of vulnerability detection. The accuracy of each type is higher than 93% and the average detection time of each smart contract is less than 1 ms. Notably, through our proposed feature selection algorithm, the training time of each type of vulnerability is reduced by nearly 80% compared with that of its original.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Vulnerability detection; Smart contract

【发表时间】2024

【收录时间】2024-10-16

【文献类型】 理论模型

【DOI】 10.1016/j.bcra.2024.100209

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