Blockchain Papers

Bouchra Rguig, Khalid Housni

No abstract is available for this record.

Mounir El Khatib, Haitham M. Alzoubi, Samer Hamidi, Muhammad Turki Alshurideh · 6 authors

Background: This paper explores the use of blockchain technology and smart contracts in the Internet of Medical Things (IoMT). It aims to identify the challenges and benefits of implementing smart contracts based on blockchain technology in the IoMT. It provides solutions and evaluates the IoMT uses in e-healthcare performance. Methods: A quantitative approach used an online survey from public and private hospital administrative departments in Dubai, United Arab Emirates (UAE). ANOVA, t -test, correlation, and regression analysis were performed to assess the e-healthcare performance with and without IoMT (smart contract based on blockchain). Patients and Methods: A mixed method was used in this research, a quantitative approach for data analysis utilizing online surveys from public and private hospitals’ administrative departments in Dubai, UAE. A correlation, regression through ANOVA, and independent two-sample t -test were performed to assess the e-healthcare performance with and without IoMT (smart contract based on blockchain). Results: Blockchain application in smart contracts has proven to be significant in the healthcare sector. Results highlight the importance of integrating smart contracts and blockchain technology in the IoMT infrastructure to improve efficiency, transparency, and security. The study provides empirical evidence to support the implementation of smart contracts in the e-healthcare sector and suggests improved e-healthcare performance through this transition. Conclusion: The emergence of e-healthcare systems with upgraded smart contracts and blockchain technology brings continuous health monitoring, time-effective operations, and cost-effectiveness to the healthcare sector. Keywords: internet of medical things, IoMT, e-healthcare, smart contracts, blockchain

Tanzila Saba, Amjad Rehman, Khalid Haseeb, Saeed Ali Bahaj · 5 authors

No abstract is available for this record.

Authors unavailable

The medical technology is being evolved for enhancing the healthcare information related to medication, diseases, medical images etc., by using Electronic Healthcare Recording (EHR). The details such as gender, age, and weight of patients are sensitive, and require protection against unauthorized access. Therefore, providing a robust security for medical data is indeed a challenge. The present research work proposed a Fully Decentralized Block chain (FDBC) model with the Proxy Re-Encryption Algorithm (PReA) with an Ethereum smart contract. The proposed FDBC-PReA allows the data to be visible only for the owner and the smart contract as the model is implemented in an Ethereum based test bed. Each time when the data is transformed, the data loss is obtained for the incorrect data which is taken care by the decentralized BC. The fully decentralized BC stores and checks whether each of the entity shares or accesses the real time data. The proposed FDBC-PReA Ethereum smart contracts, and proxy re-encryption algorithms are executed with a faster rate that consumed average block time of 5.48s, which is lesser when compared to average block times of Smart-Contract Ethereum Distributed Ledger-14s, Searchable

Xiao Liang, Wenxi Ruan, Zheng Xu, Ji Liu

To discuss the control of financial risks (FRs) under blockchain (BC) and improve network information security (NIS) and data security, edge computing (EC) combined with BC is proposed to control the risks of the big data (BD) financial system. Firstly, the BC-based financial system is introduced, and the characteristics of BC such as decentralization, tamper-resistant, and smart contract are analyzed. Secondly, the development status of NIS and the characteristics of marginal computing are explained, and the control model of NIS is established. Then, EC is used to encrypt the identity authentication system to ensure data security, and the BC-based FR evaluation model is established. Finally, a questionnaire is designed regarding the NIS model, and the results are analyzed. A simulation experiment is conducted regarding the index evaluation of the BC-based FR evaluation model. The experimental results indicate that network personnel control, environment, and technology have positive effects on NIS, and the impact factors are 0.26, 0.24, and 0.33, respectively.

Ying Wang, Jing You

With the rapid development of agriculture, modern agriculture has achieved remarkable results. Agriculture is the foundation of China's national economy, and the Party Central Committee has always insisted on solving the "three rural issues" as the top priority of the work of the whole party. However, China's agricultural foundation is weak, and the problem of unbalanced supply and demand structure of agricultural products still exists in agricultural development. With the development of blockchain, the application basis in the agricultural value chain has been established. At present, the research on the application of agricultural value chain financing is still in progress, but it is still in the initial stage. The integration of agricultural finance blockchain is low, and there are a series of problems. Extending blockchain technology to the financial area of agricultural value chains can help overcome the information barriers to traditional agricultural value chain financing and improve access to information resources for traditional agricultural value chains. The high cost of these value chains and inadequate financial management mechanisms remove bottlenecks in financing agricultural development. In this paper, we study the operation model and revenue distribution model of agricultural value chains using blockchain, analyze examples, and finally identify the basic elements of agricultural value chain financing based on sectoral chain technology. It provides theoretical support for the financing decision and production decision of each member of the agricultural supply chain, and it is hoped that the content and conclusions of the study can provide methodological reference and theoretical guidance for agricultural supply chain enterprises.

Wenyu Zhang, Mengpu Zhu

With the rapid development of communication technology and automation technology, sensors are becoming more and more intelligent. This study proposes an environmental accounting system model based on artificial intelligence blockchain and embedded sensors. A high-precision sensor system based on embedded technology is first built, which not only avoids the shortcomings of analog data transmission, but also has high performance and price advantages. At the same time, it can be easily combined into a simple sensor network, and array measurement can be realized through the development of blockchain technology. However, the current blockchain system has the disadvantage of storage limitation. The problem is particularly serious when a large amount of data needs to be stored in the blockchain, especially when the blockchain is combined with big data. As a comprehensive field of accounting, ecology, and environmental science, environmental accounting has made great contributions to sustainable development in the field of accounting. The theoretical research in the field of environmental accounting in China started late, and a unified environmental accounting system has not actually been established. Under the conditions of immature theoretical and policy basis, companies have almost no actual surveys on environmental accounting. The characteristics of blockchain technology, such as decentralization, transparency, and changes in information unavailability, can fully solve the problem that the current accounting information system cannot consolidate transaction information and the accounting process. The reliability assurance mechanism of the accounting information system based on blockchain technology can greatly ensure the reliability of the accounting information system, effectively suppress accounting fraud, and improve the transparency of information.

Li Jie

As one of the three basic elements of language, vocabulary is particularly important when learning English. Nowadays, many students are faced with problems such as boring vocabulary teaching, forgetting quickly after reciting, inefficient vocabulary learning, and lack of initiative. Therefore, it is imperative to seek a scientific and effective teaching mode to improve students’ vocabulary achievement. It builds an adaptive learning model of English vocabulary based on blockchain and deep learning, and tests the model. According to the experimental data, 46.8% of the learners will often read English newspapers or magazines to expand their English vocabulary. 50.4% of the students classified and memorized English vocabulary according to different categories. 59% of students often use context to memorize English vocabulary. The results show that before using the English vocabulary adaptive learning model based on blockchain and moderate learning, the average score of students’ methods and strategies is in the middle and lower levels. After using the adaptive learning model, some students have been able to use some learning strategies, and a small number of students have expanded their vocabulary through extracurricular reading.

Yan Chen

In order to solve the problem of adding artificial intelligence and blockchain technology to education, the purpose of meeting the needs of combining artificial intelligence and blockchain technology with modern education is to make up for the lack of artificial intelligence in modern education, improve students’ interest in learning, and cultivate high-quality students. Through practice and analysis in a chemistry class in an experimental school, samples were taken from 821 students in the third grade parallel class, and 39 teachers taught students in accordance with their aptitude; finally, from the average score statistics of the first and second inspections, it can be seen that the intelligent classroom teaching of chemistry has a certain effect on improving the average score of students in parallel classes in grade three.

Weidong Gai, Yue Gu, Jiaming Qin

Blockchain (BC) maintains a continuously growing database in a "decentralized" way, and its impact on the financial auditing industry is becoming increasingly significant. This paper aims to study the research on financial automation auditing methods supported by blockchain technology and proposes the related concepts of blockchain technology, hash function, financial auditing analysis, and the impact of BP Neural Network (BPNN) and its algorithms on financial automation auditing methods. Simultaneously, this paper likewise disperses the poll overview to definite individuals, for example, endeavor, monetary work force, focus and ranking directors, university researchers, and specialists, who have pragmatic support in the execution and use of monetary review. The experimental results of this paper show that speculation based on the interconnected environment is the most basic natural factor for understanding this idea, and its score is also the largest at 4.36 points.

Nad Ghantous, Charbel Fakhri

The Metaverse is an innovative world grasping the attention of many users seeking this trend. With the trending use of Blockchain technology emerging in client-based applications, there has been a call for the empowerment of Metaverse applications through the combination of Blockchain and Artificial Intelligence. This research paper aims to propose strategies for addressing the security concerns and the user-friendliness of Metaverse applications by fusing Blockchain technology with Machine Learning concepts like Linear Regression, Artificial Neural Networks, Deep Learning, and Recommender Systems. The first proposed strategy aims to enhance security and predict malicious attacks on Blockchain user transactions in Metaverse worlds through Linear Regression and Artificial Neural Networks. The second proposed strategy pursues the creation of a Content-Based Filtering Recommendation System of Blockchain assets for Metaverse users to purchase. The expected outcome will result in a more secure and intelligent Metaverse world for user participation.

Li’ e Wang, Fenshan Liu

With the ceaseless expanding of big data and the Internet, it has more and more affected people’s life. The collection and construction of information has become the front-end technology of current industrial development. News reports and self-media channels are also more extensive. As one of the sections of news reports, sports has also encountered opportunities and challenges in its dissemination. As an innovative technology, blockchain has brought new impetus to the development of sports industry. It is also driving new technological upgrades and visual experiences. Blockchain is a chain data structure that combines data blocks in a sequential manner according to time sequence and is a cryptographically guaranteed untameably and unforgeable distributed ledger. Sports communication has more development opportunities in modern life. Therefore, the purpose of this paper is to explore a new path of physical integration and dissemination based on the theory of blockchain, analyze the development and integration path in the application of blockchain technology, and explore their respective advantages and disadvantages. This article will use the research method of specific analysis of specific problems to make data comparison and draw a conclusion, to carry out theoretical innovation and exploration, so as to find a suitable model to promote the development of sports industry. The so-called “sports big data” refers to the analysis and application of data in sports scenarios. Combined with competitive sports, the significance of data analysis lies in improving the level of competition and preventing sports injuries. The research results show that sports companies using blockchain technology have increased their communication efficiency by 37%, and audience popularity has increased by 15% year on year. The decentralized and anonymous features of blockchain technology ensure the originality and enthusiasm of sports data news teams. Therefore, through the analysis of the selection of application scenes and technologies of the sports industry by the blockchain technology, combined with the characteristics of the current era, the transformation is fully absorbed and combined with a new perspective. This paper analyzes different application dilemmas and explores the development prospects, thus putting forward the implementation path of physical industry blockchain technology application.

Sun Chao

To build an agricultural product network marketing system in the era of e-commerce, it is necessary for agricultural product business enterprises or farmers to recognize the benefits of using e-commerce to market agricultural products and face up to its influencing factors and to build a support system, application system, and guarantee system with the support of the government to promote agricultural product e-commerce marketing to obtain healthy development. In this study, we study the construction mode of e-commerce agricultural product online marketing system based on the end of blockchain and improved genetic algorithm. This study adopts the design idea of coalition chain and proposes a multichain agricultural product trading information blockchain application technology including agricultural product trading information chain, user information chain, and agricultural product information chain. The agricultural product information chain provides detailed information of agricultural products and ensures the traceability and non-tamperability of the information. It automatically divides the profits of transactions through smart contracts to improve execution efficiency and reduce transaction costs and finally establishes a transparent, efficient, and applicable blockchain architecture for agricultural product transactions.

Mandeep Kaur, Anil Jadhav, Farzana Akter

Industrial Internet of Things (IIoT) is attempting to integrate the real world into the digital world through smart devices, information technology, and Internet. IIoT is connecting enormous devices in industry 4.0/5.0 which may be heterogeneous in nature. With the evolution of IoT, diverse technologies have been employed to deliver the quality of services to the end users in a seamless manner. Cloud computing has considerably boosted the growth of IIoT by serving the computational and data storage needs of IIoT- and blockchain-based applications in industry 4.0/5.0. However, cloud is providing services to IIoT users, but still, there is a need to improve the latency rate of delivery of services, the transmission rate of end-to-end delivery, and overall throughput of the network channels in industry 4.0 and blockchain-based distributed systems. The cloud servers those are located at remote locations are not capable to offer the quality of services to users who require real-time responses, minimum network latency, and optimum throughput. The advancements in Edge computing are making Edge-Cloud more suitable for end users in blockchain-based transactions and industry 4.0 to serve the requirements of IIoT-based applications. This paper aims at providing the resources of Edge-Cloud to the end users by proposing a soft-computing technique for selecting the most suitable resources from the pool of available resources at Edge-Cloud. This paper is proposing a multicriteria statistical approach for resource selection to exploit the benefits of Edge-Cloud and to suffice the needs of IIoT and blockchain-based applications in industry 4.0. The results obtained from the proposed research assist in enhancing the service providing rate, minimizing the delay in transmission, and optimizing the throughput of Edge-Cloud servers.

Bingqing Yang

The increasing maturity of Internet information technology has led to the rapid rise of blockchain technology. In essence, a blockchain is a shared database. In recent years, blockchain technology has attracted the attention of the public and society. With the continuous development of the market economy, many domestic enterprises have grown in size. At the same time, companies are also faced with various risks, and business risks will have a great impact on the company's production. This article aims to prevent the business risk of Internet information security platform enterprises based on blockchain technology. Through the PoS algorithm, PoW algorithm, secure hash algorithm, and the principle of direct trust, the Internet information security platform is designed. Firstly, the platform is used for a business risk test with a small company, and the platform satisfaction survey is conducted on the employees of the company. The test results show that the subplatform design reduces the business risk of the company by 5%-10%, and employee satisfaction is high. The signature simulation of this algorithm under the same conditions as the SMRA and RSAR methods is also carried out. The results show that the performance of this algorithm is better. This study opens up a new path for small and medium-sized enterprises to prevent business risks.

Insaf Boumezbeur, Karim Zarour

Sharing of Electronic Health Records (EHRs) is of significant importance in health care. Lately, a cloud-based electronic health record sharing scheme has been used extensively to share patient records among various healthcare organizations. However, cloud centralization may compromise patients’ privacy and security. Due to the special features of blockchain, it is important to see this technology as a promising solution to resolve these issues. This article proposes a privacy-preserving, secure EHR sharing and access control framework based on blockchain technology. The proposal aims to implement EHR blockchain technology and ensure that electronic records are stored safely by specifying user access permissions. We emulate the cryptographic primitives and use smart contracts to describe the relationships between the EHR owner and EHR user through the proposed system on the Ethereum blockchain. We assess the proposal results based on encryption and decryption time and the costs of the smart contract. The encryption and decryption times are proportional to the size of the EHR, which varies from 128 KB to 128 MB. When it comes to encryption, the smallest EHR takes 0.0012 s to encrypt, while the largest EHR, which is 128 MB, takes 1.4149 s. On the other hand, a 128 KB EHR takes 0.0013 s to decrypt, whereas a 128 MB EHR requires 1.6284 s. As a result, performance evaluation and security analysis confirm that the proposal is secure for practical application.

Jeffrey Tellew, Tsung-Ting Kuo

Objective: Managing training certificates is an important issue in research that can lead to serious issues if not addressed properly. For institutions that currently do not have a dedicated management system for these training certificates, a central database is the most typical solution. However, such a system suffers from several risks, such as a single-point-of-failure. Materials and Methods: To address this issue, we developed and evaluated CertificateChain, a decentralized training certificate management system by using peer-to-peer blockchain and automated smart contracts. We developed an efficient certificate dividing-and-merging algorithm to overcome the transaction size limit on blockchain. Results: We performed experiments on the system to evaluate its performance, then created a web app and tested the system in a real-world scenario. CertificateChain scaled linearly in terms of time compared with the total number of certificates added and could be quickly queried for existing data stored on-chain. Discussion: CertificateChain was able to store and retrieve the training certificates on the blockchain network, with limitations including a comparative analysis of other systems, evaluation of different consensus protocols, examining certificates off-chain, a thorough comparison with a centralized system, and the extension to the main public Ethereum network. Conclusion: We believe that these results indicate that blockchain technology could be a viable decentralized alternative to traditional databases in this use case. Our software is publicly available at: https://doi.org/10.5281/zenodo.6257094.

Dazhi Xu, Yan Gao, Xiaoyong Xiao

Poverty in the agricultural sector has always existed and needs to be urgently solved. How to achieve precise poverty alleviation and poverty alleviation in the agricultural sector has become a top priority now. In this regard, this study combines blockchain technology and wireless network technology to build a blockchain platform. The platform is responsible for assisting the development of agricultural poverty alleviation projects, integrating project data into a public area according to the characteristics of the blockchain. The data cannot be tampered with during storage and transmission, ensuring the authenticity of the data. As the core of blockchain technology, the algorithm of the consensus mechanism plays a crucial role in alleviating poverty in agriculture, using the RBFT consensus mechanism to achieve “precise identification” of the poor. The pilot has shown that the RBFT algorithm will achieve a throughput of 2,980 strokes/second. In addition, the time from node failure to recovery is diminished by 60% compared to the time consumed by the PBFT algorithm. It can be clearly seen that the blockchain platform using the RBFT algorithm is more robust.

Xiaoguang Su, Yu Xiao, Shao-Hua Liu

With the birth of Bitcoin to the maturity of development, blockchain has been sought after by various industries, and the application research around blockchain technology has developed rapidly. Blockchain has excellent characteristics such as decentralization, openness, independence, security, and anonymity. Applying the characteristics, types and core technologies of blockchain technology to the management model and management methods of the accounting industry will definitely have an important impact on the development and innovation of the accounting industry. By analyzing and discussing the impact of blockchain technology on the informatization construction, data security, fund settlement, financial audit and other aspects of the accounting industry, it is expected that mature blockchain technology will be applied to the accounting industry, which will definitely help the steady development of the accounting industry and promote the virtuous circle and development of the entire accounting industry.

Huilin Zhang, Wenrui Zhu, Cai Wang, Ye Wang · 5 authors

Abstract As an important supplementary method to help market entities to complete consumption responsibility weights of renewable energy in China, excessive consumption transaction needs an efficient and security trading mechanism. Therefore, a decentered listing trading system based on blockchain smart contract is proposed, which utilizes P2P transaction mode to complete the listing and delisting process of excessive consumption transaction. The feasibility of this trading system is verified by an example designed on Ethereum platform with compiling and allocating of smart contract, synchronization of ethernet and smart contract, and announcement of transaction information.

Zeinab Shahbazi, Yung-Cheol Byun

The modern industry, production, and manufacturing core is developing based on smart manufacturing (SM) systems and digitalization. Smart manufacturing’s practical and meaningful design follows data, information, and operational technology through the blockchain, edge computing, and machine learning to develop and facilitate the smart manufacturing system. This process’s proposed smart manufacturing system considers the integration of blockchain, edge computing, and machine learning approaches. Edge computing makes the computational workload balanced and similarly provides a timely response for the devices. Blockchain technology utilizes the data transmission and the manufacturing system’s transactions, and the machine learning approach provides advanced data analysis for a huge manufacturing dataset. Regarding smart manufacturing systems’ computational environments, the model solves the problems using a swarm intelligence-based approach. The experimental results present the edge computing mechanism and similarly improve the processing time of a large number of tasks in the manufacturing system.

Niravkumar Dhameliya, Kishore Mullangi, Mohamed Ali Shajahan, Arun Kumar Sandu · 5 authors

This study aims to understand better how blockchain-integrated HR analytics may improve staff management practices in businesses. The study's primary goals are to determine how blockchain technology affects HR procedures, analyze its effects on worker performance, and determine how policies will be affected by its adoption. The paper examines the incorporation of blockchain technology into HR analytics by synthesizing case studies, industry reports, and current literature through a secondary data-based review technique. The main conclusions are improved data security and integrity, streamlined ingenious contract procedures, open decision-making, performance management based on data, and encouraging employee accountability and ownership. Addressing technological complexity, regulatory obstacles, interoperability problems, energy consumption issues, and data access and control problems are some policy consequences. To leverage the benefits of blockchain technology in HRM, policymakers are advised to provide clear regulatory frameworks, invest in technical support and training, and investigate long-term, privacy-preserving solutions. Blockchain-integrated HR analytics present a viable way for businesses to enhance staff management plans and promote organizational efficacy in the digital age.

Ashutosh Sharma, Sarishma, Ravi Tomar, Naveen Chilamkurti · 5 authors

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. The concept of Blockchain has penetrated a wide range of scientific areas, and its use is considered to rise exponentially in the near future. Executing short scripts of predefined code called smart contracts on Blockchain can eliminate the need of intermediaries and can also raise the multitude of execution of contracts. In this paper, we discuss the concept of Blockchain along with smart contracts and discuss their applicability in the Internet of Medical Things (IoMT) in the e-healthcare domain. The paper analyses the dimensions that decentralization and the use of smart contracts will take the IoMT in e-healthcare, proposes a novel architecture, and also outlines the advantages, challenges, and future trends related to the integration of all three. The proposed architecture shows its effectiveness with average packet delivery ratio, average latency, and average energy efficiency performance parameters when compared with traditional approaches.

Ya Wang, Yanmei Yang

Abstract As a disruptive Internet technology, blockchain technology is more open, authentic, and traceable than traditional Internet technology. Compared with the traditional food safety tracing system, the food safety tracing system based on blockchain technology has the advantages of reducing costs, improving efficiency, and facilitating supervision by the regulatory department or the general public. However, due to the short development time of the blockchain technology, the food safety under the “blockchain + agriculture” model will still face challenges such as lack of infrastructure and talent, higher hazards of information and data leakage, and lagging of relevant laws and regulations.