【Author】 Bunge, A. Charlotte Wood, Amanda Halloran, Afton Gordon, Line J.

【Source】NATURE FOOD

【影响因子】20.430

【主题类别】

区块链应用-实体经济-农牧领域

【Abstract】Food system technologies (FSTs) are being developed to accelerate the transformation towards sustainable food systems. Here we conducted a systematic scoping review that accounts for multiple dimensions of sustainability to describe the extent, range and nature of peer-reviewed literature that assesses the sustainability performance of four FSTs: plant-based alternatives, vertical farming, food deliveries and blockchain technology. Included literature had a dominant focus on environmental sustainability and less on public health and socio-economic sustainability. Gaps in the literature include empirical assessments on the sustainability of blockchain technology, plant-based seafood alternatives, public health consequences of food deliveries and socio-economic consequences of vertical farming. The development of a holistic sustainability assessment framework that demonstrates the impact of deploying FSTs is needed to guide investments in and the development of sustainable food innovation. Gaps in the literature include empirical sustainability assessments of blockchain technology and plant-based seafood alternatives, public health consequences of food deliveries and socio-economic consequences of vertical farming.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】

【收录时间】2022-11-21

【文献类型】 综述

【DOI】 10.1038/s43016-022-00622-8

【Author】 Pan, Qianqian Wu, Jun Zheng, Xi Yang, Wu Li, Jianhua

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链技术-核心技术-隐私保护

【Abstract】In the era of the sixth generation (6G), the deployment of massive Internet of Things (IoT) generates and processes large amounts of data, resulting in high energy demand and huge challenges to the energy-limited IoT devices. To achieve green and sustainable communication, energy harvesting is a feasible technology to prolong the lifetime of IoT. However, the existing energy harvesting architecture cannot guarantee the privacy of energy users while improving the intelligence and effectiveness of energy transmission. To solve these issues, we propose a differential privacy and intelligent reflecting surface empowered privacy-preserving energy harvesting framework for 6G-enabled IoT. First, a secure and intelligent energy harvesting framework is designed, which includes an intelligent reflecting surface-aided radio frequency power transmission mechanism and a differential privacy-based energy harvesting mechanism. Second, an exponential mechanism-based privacy-preserving energy harvesting scheme is established, where we analyze the adversary mode, propose the differential privacy-enabled location-preserving algorithm, and provide security analysis and proof. Third, we quantify the user satisfaction for energy harvesting and propose a deep reinforcement learning empowered resource allocation scheme to maximize the weighted satisfaction of all system users. Finally, simulation results show the effectiveness of the proposed secure and intelligent energy harvesting architecture for 6G IoT.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Privacy; 6G mobile communication; Energy harvesting; Energy exchange; Resource management; Differential privacy; Wireless communication; Differential privacy (DP); energy harvesting (EH); intelligent reflecting surface (IRS); Internet of Things (IoT); privacy preservation

【发表时间】2022

【收录时间】2022-11-21

【文献类型】 实证数据

【DOI】 10.1109/JIOT.2021.3104833

【Author】 Liu, Yinqiu Qian, Kai Wang, Kun He, Lei

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链技术-协同技术-物联网

【Abstract】With the ever-increasing applications of the Internet of Things (IoT), e.g., smart homes, smart cities, smart factories, etc., data security and device trustworthiness become the major concerns. Although blockchain contributes to achieve the data traceability and fault tolerance, the huge resource consumption and limited performance severely restrict its deployments in IoT. Moreover, the unique features of IoT, such as mobility, resource constraints, and security vulnerabilities, create even greater difficulties for blockchain running. Observing the lack of blockchain analyzing tools for IoT, we intend to provide a fair means with standard metrics for better understanding IoT-oriented blockchain. In this article, we present BCmaster, a blockchain analyzing and monitoring framework focusing on IoT scenarios. Based on the detailed modeling of blockchain-assisted IoT, we propose a novel metric set named 5-D quantitative metric framework, which can conduct the comprehensive blockchain analysis from five dimensions. Moreover, we design a modular architecture for BCmaster, wherein the interaction requests (IRs)-based data parser ensures a high system compatibility and the synchronous metric visualizer facilitates the real-time blockchain monitoring in IoT. Extensive evaluations in a real IoT environment demonstrate the validity of BCmaster and explore the performance of four IoT-oriented blockchain systems. Last but not least, we discuss the ways to customize IoT-oriented blockchain with the help of BCmaster.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchains; Internet of Things; Peer-to-peer computing; Monitoring; Fabrics; Servers; Proposals; Analyzing tool; blockchain; Internet of Things (IoT); performance; security

【发表时间】2022

【收录时间】2022-11-21

【文献类型】 实证数据

【DOI】 10.1109/JIOT.2022.3182004

【Author】 Li, Yuxi Zuo, Yue Song, Houbing Lv, Zhihan

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链技术-协同技术-深度学习

【Abstract】Internet-of-Things (IoT) technology is increasingly prominent in the current stage of social development. All walks of life have begun to implement the IoT integration technology, so as to strive to promote industrial modernization, intelligence, and digitalization. In this case, how to link high-risk network activities with entities has become the primary issue for promoting industrial development. However, at this stage, the security issues in the development of the IoT technology have contradictions that are difficult to resolve. According to this situation, how to make system defense intelligent and replace manual monitoring has become the future of the development of security architecture. This article combines existing security research to explore the possibility of deep learning (DL) in upgrading the IoT security architecture, discusses how the IoT can identify and respond to cyber attacks, and how to encrypt edge data transmission. Moreover, this article discusses security research in application fields, such as Industrial IoT, Internet of Vehicles, smart grid, smart home, and smart medical. Then, we summarized the areas that can be improved in future technological development, including sharing computing power through the edge network processing unit (NPU) central device and closely combining the environmental simulation model with the actual environment, as well as malicious code detection, intrusion detection, production safety, vulnerability detection, fault diagnosis, and blockchain technology.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Security; Internet of Things; Deep learning; Feature extraction; Blockchains; Satellites; Safety; Deep learning (DL); Internet of Things (IoT); neural network processing unit (NPU); security

【发表时间】2022

【收录时间】2022-11-21

【文献类型】 实证数据

【DOI】 10.1109/JIOT.2021.3106898

【Author】 Lam Duc Nguyen Broring, Arne Pizzol, Massimo Popovski, Petar

【Source】SCIENTIFIC REPORTS

【影响因子】4.996

【主题类别】

区块链应用-实体经济-工业领域

【Abstract】In recent years, industrial manufacturing has undergone massive technological changes that embrace digitalization and automation towards the vision of intelligent manufacturing plants. With the aim of maximizing efficiency and profitability in production, an important goal is to enable flexible manufacturing, both, for the customer (desiring more individualized products) and for the manufacturer (to adjust to market demands). Manufacturing-as-a-service can support this through manufacturing plants that are used by different tenants who utilize the machines in the plant, which are offered by different providers. To enable such pay-per-use business models, Distributed Ledger Technology (DLT) is a viable option to establish decentralized trust and traceability. Thus, in this paper, we study potential DLT technologies for efficient and intelligent integration of DLT-based solutions in manufacturing environments. We propose a general framework to adapt DLT in manufacturing, and then we introduce the use case of shared manufacturing, which we utilize to study the communication and computation efficiency of selected DLTs in resource-constrained wireless IoT networks.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-11-21

【文献类型】 实证数据

【DOI】 10.1038/s41598-022-22612-3

【Author】 Choi, Tsan-Ming

【Source】ANNALS OF OPERATIONS RESEARCH

【影响因子】4.820

【主题类别】

区块链应用-实体经济-政务领域

【Abstract】Today, high-tech industries such as consumer electronics commonly face government rules on carbon emissions. Among the rules, carbon emission tax as well as extended producer responsibility (EPR) tax are two important measures. Using blockchain, the policy makers can better determine the carbon target environmental taxation (CTET) policy with accurate information. In this paper, based on the mean-variance framework, we study the values of blockchain for risk-averse high-tech manufacturers who are under the government's CTET policy. To be specific, the government first determines the optimal CTET policy. The high-tech manufacturer then reacts and determines its optimal production quantity. We analytically prove that the CTET policy simply relies on the setting of the optimal EPR tax. Then, in the absence of blockchain, we consider the case in which the government does not know the manufacturer's degree of risk aversion for sure and then derive the expected value of using blockchain for the high-tech manufacturers. We study when it is wise for the high-tech manufacturer and the government to implement blockchain. To check for robustness, we consider in two extended models respectively the situations in which blockchain incurs non-trivial costs as well as having an alternative risk measure. We analytically show that most of the qualitative findings remain valid.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Mean-variance analysis; Data; High-tech products; Risk averse; Carbon target

【发表时间】

【收录时间】2022-11-21

【文献类型】 理论模型

【DOI】 10.1007/s10479-022-05030-6

【Author】 Zhi, Hui Wu, Yinliang Zhang, Xinyu Yang, Lixia

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链技术-核心技术-共识机制

【Abstract】Existing researches that apply blockchain into computation offloading do not consider the enthusiasm of terminals to participate in computation offloading, the fairness of terminals to obtain bookkeeping right and the consensus mechanism that applicable to computation offloading between terminals. So, in this paper, a computation offloading method based on reputation value incentive is proposed, and the detailed workflow of this method is designed. In the workflow, a computation resource allocation method based on dynamic adjustment auction, a mining difficulty setting method based on intelligent terminal devices (ITDs) clustering and an improved POW consensus mechanism based on reputation value (RVPOW) are proposed to ensure the fairness of ITDs to obtain bookkeeping right and improve the enthusiasm of ITDs to participate in computation offloading and blockchain consensus. Simulation results show that the proposed computation offloading method can encourage ITDs to participate in computation offloading, and the RVPOW consensus mechanism can achieve fast consensus.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Consensus protocol; Clustering methods; Resource management; Heuristic algorithms; Computational modeling; Servers; Data security; Blockchains; Computation offloading; blockchain; K-means clustering; reputation value

【发表时间】2022

【收录时间】2022-11-21

【文献类型】 实证数据

【DOI】 10.1109/ACCESS.2022.3218660

【Author】 Ahmed, Md Rayhan Islam, A. K. M. Muzahidul Shatabda, Swakkhar Islam, Salekul

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链应用-实体经济-身份管理

【Abstract】Identity Management System (IDMS) refers to how users or individuals are identified and authorized to use organizational systems and services. Since traditional identity management and authentication systems rely heavily on a trusted central authority, they cannot mitigate the effects of single points of failure. As a decentralized and distributed public ledger in a peer-to- peer (P2P) network, Blockchain (BC) technology has garnered a considerable amount of attention in the field of IDMS in recent years. Through Self-Sovereign Identity (SSI), users can have full authority over their digital identity. Successful implementation of a BC-based IDMS can significantly increase the degree of privacy and security of a user's SSI. However, the integration of BC-based IMDS to provide a user with SSI is still an unorganized area of research in its early stages of development. This article presents an extensive literature review of state-of-the-art academic publications as well as commercial market offerings regarding the applicability of BC-based SSI solutions. It also provides a detailed preliminary regarding the building blocks of blockchain technology and a progressive roadmap of IDMS solutions. In order to develop an effective BC-based IDMS solution that focuses on securing a user's SSI, this article outline five essential components of a BC-based IDMS: authentication, integrity, privacy, trust, and simplicity. Furthermore, we perform a security analysis that outlines several types of adversarial threats that can cause potential damage to the BC-based IDMS. We identify and discuss associated issues and challenges by analyzing several notable BC-based IDMS solutions in academic literature. We also highlight potential research gaps and provide future research scope.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchains; Security; Authentication; Ecosystems; Wireless sensor networks; Identity management systems; Medical services; Peer-to-peer computing; Blockchain; peer-to-peer network; identity management system; self-sovereign identity; security

【发表时间】2022

【收录时间】2022-11-21

【文献类型】 综述

【DOI】 10.1109/ACCESS.2022.3216643

【Author】 He, Jia

【Source】ELECTRONIC COMMERCE RESEARCH

【影响因子】3.462

【主题类别】

区块链应用-实体经济-能源领域

【Abstract】With the "Double Carbon" goal put forward, more and more traditional electricity power generation enterprises (EPGEs) are transforming into new energy EPGEs. To improve the comprehensive energy performance of EPGEs in China and optimize their business operations, in the context of Double Carbon, firstly, blockchain technology (BT) is combined with the comprehensive energy performance evaluation of EPGEs to construct a comprehensive energy performance evaluation index system (PEIS) for EPGEs. Secondly, the weights of comprehensive energy performance evaluation indicators (PEIs) are determined by combining the Analytic Hierarchy Process (AHP) and factor analysis. Finally, the comprehensive energy performance evaluation results of EPGEs in the case are analyzed, and their business operations are optimized. The proposed PEIs consider six primary indicators subdivided into 20 secondary ones. Primary indicators include post-process economic evaluation, dynamic economic evaluation, energy consumption evaluation, reliability evaluation, intelligent empowerment evaluation, and environmental protection indicators. After statistics, weights of each indicator are 0.0429, 0.0646, 0.2503, 0.1601, 0.3808, and 0.1013, respectively. It can be found that the indicators of intelligent empowerment evaluation have the largest weight, followed by the indicators of energy consumption evaluation. The results prove that thermal EPGEs gradually transform into new energy EPGEs to better economic performance and reduce environmental pollution under Double Carbon background and Low Carbon Economy (LCE). This work is helpful for EPGEs to carry out comprehensive energy performance evaluations and provides a reference for them to expand business realms.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Double carbon; Economy and comprehensive energy; Performance evaluation; Business model; Electricity enterprise

【发表时间】

【收录时间】2022-11-21

【文献类型】 理论模型

【DOI】 10.1007/s10660-022-09629-6

【Author】 Zhang, Wenbo Zhang, Jing Shi, Yifei Feng, Jingyu

【Source】SECURITY AND COMMUNICATION NETWORKS CCF-C

【影响因子】1.968

【主题类别】

区块链技术-协同技术-物联网

【Abstract】With the large-scale deployment of industrial Internet of things (IIoT) devices in 5/6G environments, the number of vulnerabilities threatening IIoT security is growing dramatically, including a mass of undisclosed IIoT vulnerabilities that lack mitigation measures. Coordination vulnerability disclosure (CVD) is one of the most popular vulnerabilities sharing solutions, in which security workers (SWs) can develop undisclosed vulnerability patches together. However, CVD assumes that SWs are all honest and thus offering chances for dishonest SWs to internally leak undisclosed IIoT vulnerabilities. To combat such internal threats, we propose an undisclosed IIoT vulnerabilities sharing protection (UIV-TSP) scheme against internal leakage. In this paper, a dynamic token is an implicit access credential for an SW to acquire an undisclosed vulnerability message, which is only held by the system and constantly updated with the SW access. The latest updated token can be stealthily sneaked into the acquired information as the traceability token to prevent internal leakage. To quickly distinguish dishonest SWs, the feedforward neural network (FNN) is adopted to evaluate the trust value of SWs. Meanwhile, we design a blockchain-assisted continuous logs storage method to achieve the tamper-proofing of dynamic token and the transparency of undisclosed IIoT vulnerabilities sharing. The simulation results indicate that our proposed scheme is resilient to suppress dishonest SWs and protect the IIoT undisclosed vulnerabilities effectively.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-11-21

【文献类型】 实证数据

【DOI】 10.1155/2022/2500213

【Author】 Li, Huiming Yin, Jiesen

【Source】MOBILE INFORMATION SYSTEMS

【影响因子】1.863

【主题类别】

区块链应用-实体经济-档案领域

【Abstract】The centralized database can store a variety of electronic archives. Electronic archives face a variety of network attack vulnerabilities as information technology and network technology continue to advance. Furthermore, these archives will be readily forged and tampered with by internal management or external attackers. Data security and authenticity problems prevail in Chinas management system for archives. First, this exploration elaborates the blockchain technology, distributed database technology, and distributed database system structure. Secondly, blockchain technology is applied to the authenticity protection of electronic archives. Then, an optimization model of university archives based on blockchain technology is constructed. Finally, this exploration investigates the current use of blockchain technology for college archive management systems. The questionnaire is used to understand the current university personnels views on the college archive management system under the application of blockchain. The survey results suggest that most people support the digital college archive management system. At present, the operation efficiency of the college archive management system still needs to be improved, and the quality of archives search should be promoted. Therefore, the college archive management system still needs to optimize the archives efficiency as well as quality. According to the above survey results, this investigation gives suggestions for optimizing the college archive management system using blockchain technology, as well as some suggestions and references for further management.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-11-21

【文献类型】 实证数据

【DOI】 10.1155/2022/6256859

【Author】 Tao, Yunqiu Wang, Wanxin Yang, Wei

【Source】MATHEMATICAL PROBLEMS IN ENGINEERING

【影响因子】1.430

【主题类别】

区块链应用-实体经济-财会领域

【Abstract】As one of the basic tools of statistical analysis, random matrix theory builds a bridge for the study of microscopic and macroscopic properties of complex networks. The eigenvalues of the adjacency matrix of the complex network after mapping correspond to the energy spectrum in the random matrix theory, so the characteristics of the complex network are concentrated in the volatility of the eigenvalue sequence. Theeigenvalues of complex networks are analyzed through random matrix theory to.nd the relationship between their structure and properties. This paper discusses the design and realization of the comprehensive application platform of group enterprise.nancial management. Based on the current situation of the development of.nancial management software in domestic and foreign group companies, the thesis gives the goals and tasks of the platform research and design. The enterprise.nancial management platform has made a business and technical architecture design and has made an in-depth analysis and design of modules such as fund management, budget management, statement management, and accounting management. This paper finds that the critical point threshold makes the results of network community division below this threshold poor, and the results above this threshold are good. Furthermore, the tipping point threshold for the NYSE network is signi.cantly lower than that of the CSM network. This paper further analyzes the dynamic cross-correlation matrix and examines the time-dependent changes in the number of outliers, the number of communities, the degree of network modularity, and the degree of decentralization of industry composition under the condition of two market critical point thresholds. From the magnitude of fluctuation, it is found that the NYSE network is much more stable than the CSM network, which may also be related to the basic characteristics of the two markets, because the capital chain relationship is much more stable than the supply chain relationship.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-11-21

【文献类型】 实证数据

【DOI】 10.1155/2022/2513471

【Author】 Chang, He Liu, Huimin Jin, Shuai

【Source】MANAGERIAL AND DECISION ECONOMICS

【影响因子】1.379

【主题类别】

区块链应用-实体经济-环境领域

【Abstract】Information asymmetry caused by centralized databases is the main factor hindering the improved performance of river chief governance, and blockchain can solve this dilemma. In view of the mismatch between traceable feature of blockchain and the heavy punishment mechanism, a model of river governance was constructed based on principal-agent theory, and an incentive mechanism of river chiefs in the context of blockchain was designed. The results we conducted will enable the real river management information to be stored permanently in the distributed ledger. These measures are conducive to long-term river management and improve the overall environmental and social benefits.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】

【收录时间】2022-11-21

【文献类型】 理论模型

【DOI】 10.1002/mde.3763