【Author】 Zhou, Kaile Guo, Jinhuan Zhou, Jiong

【Source】IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS CCF-C

【影响因子】11.648

【主题类别】

区块链应用-实体经济-电力领域

【Abstract】Peer-to-peer (P2P) electricity trading in a blockchain environment has established the foundation of trust among microgrids. However, the default behaviors caused by uncertainties associated with renewable energy and microgrids profit-seeking still trigger a crisis of trust. Therefore, this study proposes a two-stage credit management strategy (TSCMS) for P2P electricity trading among microgrids to reduce the default behaviors, which contains credit-based risk control optimization stage and credit-based P2P electricity trading stage. In the first stage, a robust control optimization of credit-based risk preference is proposed to realize flexible management of renewable energy uncertainty through adaptive robustness factor, thus well balancing the reliability and economy of trading. In the second stage, a queuing priority is provided using equivalent price conversion to realize credit-based rewards and punishments. Experimental results show that the proposed TSCMS can enhance the trust of microgrids and create a reliable trading environment.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Microgrids; Power markets; Peer-to-peer computing; Blockchains; Renewable energy sources; Optimization; Costs; Consortium blockchain; continuous double auctions; peer-to-peer (P2P) electricity trading; risk control optimization; two-stage credit management

【发表时间】2023

【收录时间】2023-11-08

【文献类型】 实验仿真

【DOI】 10.1109/TII.2023.3316177

【Author】 Liu, Hua Wang, Yiqin He, Guangyao Ma, Ruili Fu, Shaoling

【Source】JOURNAL OF CLEANER PRODUCTION

【影响因子】11.072

【主题类别】

区块链应用-实体经济-食品领域

【Abstract】Food safety issues pose a threat to human health, and blockchain-based traceability can prevent food safety and fraud problems. But what information can be disclosed using blockchain technology to obtain a positive response from consumers? This issue has not received much attention, so this study empirically examines the role of environmental information transparency on the origin of green agricultural products, i.e. soil information transparency and water information transparency, based on signalling theory. The results of the structural equation modelling show that consumer engagement with blockchain technology significantly contributes to the perceived transparency of environmental information of origin. And the perception of soil information transparency had a significant effect on technology trust and perceived quality, but the perception of water information transparency only had a significant effect on perceived quality. Both consumers' technology trust and perceived quality had a significant impact on online impulse purchases. Further necessary conditions analysis found that perception of water information transparency was a necessary but not a significant condition for technology trust. And perceived quality is a significant but not necessary condition for online impulse purchases. Consumer engagement with blockchain technology is also a significant but not necessary condition for the perceived transparency of origin environmental information. The results of this study inform the adoption of blockchain technology by enterprises and how to enhance online purchasing behaviour.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain technology; Information disclosure; Tracebility; Information transparency; Necessary conditions analysis

【发表时间】2023

【收录时间】2023-11-08

【文献类型】 实证数据

【DOI】 10.1016/j.jclepro.2023.138449

【Author】 Abdel-Basset, Mohamed Mohamed, Reda Hezam, Ibrahim M. Sallam, Karam M. Alshamrani, Ahmad M. Hameed, Ibrahim A.

【Source】JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES

【影响因子】8.839

【主题类别】

区块链技术-核心技术-挖矿策略

【Abstract】In this paper, several recently published metaheuristic algorithms are adapted to optimize the NP-hard problem of jointly mining decision and resource allocation in mobile edge computing (MEC) enabled blockchain networks under two different encoding schemes. The first scheme represents individuals in a way that incorporates the mining decisions, transmission power, and computing resources of all miners for each individual, with mining decisions determined by a binary vector whose values indicate whether miners partake in mining or not. While, the second scheme makes each individual accountable for the transmission power and computing resources of each participant miner, treating all individuals as a sin-gular solution to the problem. Then the Nutcracker optimization algorithm and gradient-based optimizer are modified to propose two robust variants, MNOA and MGBO, respectively. We then combine MNOA and MGBO to create HNOA, which further optimizes the mining decision and resource allocation in this problem. HNOA and other variants are validated using nine instances with a range of 150 to 600 miners. HNOA is also compared to several competing optimizers to demonstrate its efficacy in terms of several performance metrics. The experimental findings show the superiority of the proposed algorithm. (c) 2023 The Author(s). Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Optimization; Blockchain; Metaheuristics; Swarm intelligence; Resource allocation; Real -world applications

【发表时间】2023

【收录时间】2023-11-08

【文献类型】 实验仿真

【DOI】 10.1016/j.jksuci.2023.101779

【Author】 Parente, Mimmo Rizzuti, Luca Trerotola, Mario

【Source】EXPERT SYSTEMS WITH APPLICATIONS CCF-C

【影响因子】8.665

【主题类别】

区块链应用-虚拟经济-虚拟货币

【Abstract】Algorithmic trading enables the execution of orders using a set of rules determined by a computer program. Orders are submitted based on an asset's expected price in the future, an approach well suited for high-volatility markets, such as those trading in cryptocurrencies. The goal of this study is to find a reliable and profitable model to predict the future direction of a crypto asset's price based on publicly available historical data. We first develop a novel labeling scheme and map this problem into a Machine Learning classification problem. The model is then validated on three major cryptocurrencies through an extensive backtest over a bull, bear and flat market. Finally, the contribution of each feature to the classification output is analyzed.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cryptocurrencies; Machine learning; Neural network; Price prediction; Algorithmic trading; Explainable AI; Backtesting; Shapley values

【发表时间】2024

【收录时间】2023-11-08

【文献类型】 理论模型

【DOI】 10.1016/j.eswa.2023.121806

【Author】 Zheng, Fang Zhou, Xiong

【Source】SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS

【影响因子】7.632

【主题类别】

区块链应用-实体经济-农牧领域

【Abstract】Agricultural product logistics plays a high role in the development of Chinese economy, which is the most important basic link in the process of agricultural industrialization, scale and modernization. The logistics of agricultural products in China has always been at a low standard of development, slow development or even stagnation. As the most basic and important agricultural product industry in the national economy, the degree and mode of development of agricultural products have a great impact on the development of Chinese economy and people's quality of living. Therefore, new models and approaches for the construction and development of agricultural product logistics must be actively explored to promote the standardization and scale of China's agricultural product logistics industry. Therefore, the paper constructed a sustainable model of agricultural products logistics integration based on blockchain technology, and proposed a comprehensive logistics model of agricultural products based on intelligent blockchain, which was expected to provide some help to solve the problems of supply and demand mismatch, quality safety management, agricultural product price fluctuation and other problems in the current agricultural product circulation. The paper first introduced the intelligent blockchain technology and the concept of agricultural product logistics integration, and then constructed a sustainable model of agricultural product logistics integration. The paper gave a general description of the model and conduct comparative experiments on its effectiveness. The paper found that the agricultural product logistics industry based on intelligent blockchain technology could achieved at least 40% of the additional revenue. After verification, the limitations of intelligent blockchain technology were also proposed and corresponding suggestions are given. At the end of this paper, the paper proposed that blockchain technology can realize the information visualization and traceability of the whole life cycle of products, which can effectively solve some new problems in the agricultural supply side structural reform and had broad application prospects.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Agricultural products; Intelligent block-chain technology; Logistics transportation; Sustainable models

【发表时间】2023

【收录时间】2023-11-08

【文献类型】 理论模型

【DOI】 10.1016/j.seta.2023.103258

【Author】 Qashlan, Amjad Nanda, Priyadarsi Mohanty, Manoranjan

【Source】FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE

【影响因子】7.307

【主题类别】

区块链应用-实体经济-智能家居

【Abstract】Secure and private communications using the Internet of Things (IoT) pose several challenges for smart home systems. In particular, data collected from IoT devices comprise sensitive personal information such as biomedical data, financial data, and location and activity data. Recent research looks into the use of blockchain in smart home systems, protecting the privacy of the data in use. Such solutions need to address the issue of privacy using a formal and mathematical model for data privacy due to the vulnerability associated with privacy-preserving blockchain networks. In the present paper, our approach aims to provide a privacy-preserving data aggregation mechanism in the context of Smart Homes that agree to contribute their data to a cloud server using machine learning to improve services for home users. We propose the use of differential privacy, a powerful concept in privacy preserving schemes to provide formal assurances about how much information is leaked using a privacy budget. The main purpose of using such a privacy-preserving scheme is to limit what can be inferred about individual training data from the model. Our techniques use a R ' enyi differential privacy (RDP) machine learning scheme and are based on a variant of the stochastic gradient descent function. The performance of our proposed framework is evaluated using three public datasets: UNSW-NB15, NSL-KDD, and ToN-IoT datasets. Our findings show that differential private models can provide privacy protection against attackers by sacrificing a substantial amount of model utility. Therefore, we propose an empirical value of epsilon, that can optimally balances utility and privacy for the current smart home scenario datasets.(c) 2023 Elsevier B.V. All rights reserved.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Smart home; Blockchain; Differential privacy; Membership inference attack; Internet of Things; Edge computing

【发表时间】2024

【收录时间】2023-11-08

【文献类型】 理论模型

【DOI】 10.1016/j.future.2023.08.010

【Author】 Zhang, Shiwen He, Jiayi Liang, Wei Li, Keqin

【Source】FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE

【影响因子】7.307

【主题类别】

区块链技术-协同技术-物联网

【Abstract】With the rapid development and popularity of Internet of Things (IoT) technology, IoT devices can generate MultiMedia Big Data (MMBD) as multimedia devices. MMBD is often encrypted and stored on an untrusted cloud server. Searchable encryption is an effective way which can finish a controllable keyword search of ciphertext. However, there are two limitations to these existing works. On the one hand, it is hard to independently protect the data privacy of each IoT device. On the other hand, when faced with an untrusted cloud server, it is difficult to implement more flexible fine-grained verification for search results. To overcome these limitations, we propose a secure and verifiable MultiMedia Data Search (MMDS) scheme for cloud assisted edge computing. To protect the data of IoT devices independently, we designed a secure, flexible, and efficient keyword search mechanism based on bilinear pairings. To achieve a more flexible and practical search result verification mechanism, we design a fine-grained verification algorithm combining blockchain and hashing techniques. We have conducted performance evaluations and security proof and analysis for MMDS scheme. Finally, we applied MMDS scheme to solve real problems in intelligent multimedia systems. Security proof and analysis prove the security of MMDS. Performance analyses and evaluations further confirm that MMDS is efficient and feasible for practical applications.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Keyword search; Fine-grained verification; Independent protection; Internet of Things (IoT); Blockchain; Cloud-assisted edge computing

【发表时间】2024

【收录时间】2023-11-08

【文献类型】 理论模型

【DOI】 10.1016/j.future.2023.09.023

【Author】 Zhang, Shiwen Yang, Yibin Liang, Wei Sandor, Voundi Koe Arthur Xie, Guoqi Raymond, Kim-Kwang

【Source】JOURNAL OF SYSTEMS ARCHITECTURE

【影响因子】5.836

【主题类别】

区块链技术-协同技术-可搜索加密

【Abstract】The rapid development of cloud computing motivates Internet of Things users to outsource their data to enjoy value-added cloud services: data storage, data sharing, etc. To provide reliable but searchable results, searchable encryption (e.g., Ciphertext-Policy Attribute-Based Keyword Search (CP-ABKS)) become an area of active research. One major drawback of existing CP-ABKS designs lies in the private key being generated and distributed by a trusted Central Authority (CA), which is a single point of failure/attack. Another limitation is that the cloud server may return forged or incomplete query results to the data user. This paper proposes a novel Multi-authority Keyword Search Scheme for edge-cloud collaboration (MKSS). To protect the security of the private key, we design a private key generation algorithm based on secure multi-party computation. To preserve the integrity of search results, we construct an efficient verification algorithm that detects forged or incomplete results. We evaluate the security and performance of our protocol using real-world datasets to demonstrate robustness and efficiency. Our construction advances the existing body of research towards secure and efficient keyword search protocols in cloud systems.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Muti-authority; Keyword search; Blockchain; Attributed-based encryption; Edge-cloud collaboration

【发表时间】2023

【收录时间】2023-11-08

【文献类型】 实证数据

【DOI】 10.1016/j.sysarc.2023.102998

【Author】 Wang, Chen Zhao, Jin

【Source】COMPUTER COMMUNICATIONS CCF-C

【影响因子】5.047

【主题类别】

区块链技术-核心技术-区块链网络

【Abstract】Blockchain technology represents a transformative innovation that facilitates the storage, dissemination, and access of vital information within a distributed database framework. While not an inherent part of blockchain technology, peer-to-peer networks are frequently employed in its implementation due to their ability to enhance connection throughput and minimize connection overhead. These networks, known for their high bandwidth, low connection overhead, and robust security standards, are increasingly viewed as influential elements in many contemporary blockchain systems. The core of blockchain technology, however, lies in its distributed ledger that records and verifies transactions. Over recent years, a variety of network approaches incorporating blockchain-based systems have been proposed across numerous domains, including the Internet of Things (IoT), intelligent vehicle networks, and medical data access control, among others. This paper aims to explore and evaluate a selection of these network approaches, providing a comprehensive overview of current applications, along with the inherent advantages and disadvantages of such systems. Furthermore, we present a systematic introduction to future developments in network approaches incorporating blockchain-based systems, setting the stage for a deeper understanding of this rapidly evolving field.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Internet of Things; Smart vehicle; Medical data analysis; Network security

【发表时间】2023

【收录时间】2023-11-08

【文献类型】 综述

【DOI】 10.1016/j.comcom.2023.09.018

【Author】 Shen, Tao Li, Hongchao Bai, Fenhua Gong, Bei

【Source】IEEE SYSTEMS JOURNAL

【影响因子】4.802

【主题类别】

区块链技术-协同技术-物联网

【Abstract】The development of Internet of Things (IoT) technology leads to the continuous growth of IoT devices. Due to the characteristics of resource constraints and interdependencies, IoT devices are vulnerable to many security issues. Remote attestation can verify the integrity of remote devices. However, there are some problems that exist, such as only verifying the integrity of static and runtime data, attestation evidence growing proportionally to the number of services, resulting in significant increase in runtime overhead. Therefore, this article proposes a blockchain-assisted integrity attestation scheme for distributed dependency IoT services. The scheme builds a distributed service integrity model capable of measuring the integrity of both static data and runtime data of distributed IoT services. In addition, we propose a secure and trusted blockchain query mechanism, which can effectively resist tampering or storage errors in the database data of a certain node in the blockchain. Furthermore, a two-way authentication distributed service integrity attestation protocol is designed to protect the communication security between participants without excessive performance overhead. We demonstrate the security of the attestation protocol with automated validation of Internet security protocols and applications. The feasibility and performance of the proposed scheme are verified by simulating the Wismote sensor using the Cooja simulator.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchains; Protocols; Performance evaluation; Blockchain; distributed dependency Internet of Things (IoT) services; integrity attestation; remote attestation

【发表时间】2023

【收录时间】2023-11-08

【文献类型】 实验仿真

【DOI】 10.1109/JSYST.2023.3318365

【Author】 Sanchez, Luis Lanza, Jorge Gonzalez, Ivan Santana, Juan Ramon Sotres, Pablo

【Source】ICT EXPRESS

【影响因子】4.754

【主题类别】

区块链应用-虚拟经济-数据市场

【Abstract】The Internet of Things (IoT) is recognised as a game-changer technology that expands its applicability to a huge variety of domains. The key asset is the data that the myriad of sensors embedded in the environment are constantly generating. The paper describes a Blockchain-based IoT Data Marketplace (BIDM) and presents the proof-of-concept implementation that has been developed to validate it from a functional standpoint. The BIDM enables an ecosystem where sensor owners can expose the observations that their sensors generate while retaining control over who accesses each observation and directly getting revenues according to the price they have set.(c) 2023 The Author(s). Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Internet of Things; Blockchain; Data Marketplace

【发表时间】2023

【收录时间】2023-11-08

【文献类型】 理论模型

【DOI】 10.1016/j.icte.2023.01.002

【Author】 Li, Yunzhe Dong, Peng Ye, Weimin

【Source】PLOS ONE

【影响因子】3.752

【主题类别】

区块链应用-实体经济-供应链

【Abstract】The Graphical Evaluation and Review Technique (GERT) and complex networks are used to simulate and analyse complex product supply chain networks based on the characteristics of complex product supply chain networks. And the traditional GERT is improved by constructing a grey parametric GERT network with restricted output results, taking into account the fact that the duration, product quality and product cost of each supplier in a complex product supply chain are interval values rather than definite values, and that customers have restrictions on the duration, product quality and product cost of the final product. The functional relationship between product quality, product cost and duration is analysed, and two satisfaction functions for duration and cost are constructed in order to quantify the multi-objective requirements of shortening duration, saving product cost and guaranteeing product quality for complex products under emergency situations. Then, a duration-cost-quality model for complex product supply chains in contingency situations is constructed to obtain the better duration, product cost and product quality of each supplier by optimising the indicator parameters in the network. Finally, the scientific validity and effectiveness of the model and method are verified by means of arithmetic example. The results show that the method is able to analyse the optimal duration, product quality and product cost of each supplier, and the main manufacturer can obtain an optimised combination of duration, cost and quality for a complex product supply chain in different contingency situation. To further promote the sustainable and secure development of complex product supply chains, this paper also suggests the integration of data sharing and blockchain technology with complex product supply chains to develop dynamic supply chain feedback management systems.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2023

【收录时间】2023-11-08

【文献类型】 理论模型

【DOI】 10.1371/journal.pone.0292010

【Author】 Bao, Yi Gui, Zhiming Sun, Zhongxiang An, Zhengyang Huang, Zhou

【Source】ELECTRONICS

【影响因子】2.690

【主题类别】

区块链技术-协同技术-空间数据库

【Abstract】The fusion of spatial data with blockchain technologies presents an innovative approach towards a decentralized, secure, and trustworthy framework for spatial information management. This integration brings spatial representation to the forefront of blockchain, opening avenues for various sectorial applications. However, challenges like slow processing times, restricted query capabilities, and consistency issues have been identified within the blockchain system. Addressing these challenges, we propose an optimized method for spatial queries by leveraging the high-performance capabilities of spatial databases. Unlike conventional off-chain query techniques, our approach synergistically combines hyperledger fabric with a specialized spatial database. This fusion facilitates distributed spatial queries within blockchain framework, incorporating spatial operation functionalities into smart contracts while preserving the distributed nature of nodes and spatial databases. Enhancing system security, we incorporate a dual-stage verification mechanism alongside a salt-hash storage strategy to counteract potential unauthorized alterations. Initial results validate the efficacy of our methodology in terms of performance and security. Building on this foundation, we introduce a rental transaction system that effectively merges spatial data with blockchain, demonstrating the feasibility and potential of integrating spatial information into the blockchain, especially in the realm of real estate.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; hyperledger fabric; spatial database; secure data storage; spatial query

【发表时间】2023

【收录时间】2023-11-08

【文献类型】 实验仿真

【DOI】 10.3390/electronics12204287

【Author】 Chen, Zhihua Srivastava, Gautam

【Source】JOURNAL OF INTERNET TECHNOLOGY

【影响因子】1.140

【主题类别】

区块链应用-实体经济-安全监控

【Abstract】To ensure the safe and stable operation of distance education systems, a security threat early warning technology based on blockchain is proposed for distance education system, which builds a security threat warning model. It uses the data interface in the interface layer to connect the teacher and student client. Then, the network behavior data of the distance education system is collected and transmitted to the data layer, where data blocks exchange the behavior data of the distance education system, and then the chain structured behavior data is generated and transmitted to the consensus layer. After the behavior data is transmitted to the incentive layer through the consensus layer, the distribution mechanism and basis are used to process and transfer the behavior data to the contract layer. The contract layer uses the threat early warning model to calculate the behavior data, and then conducts threat rating and early warning response on the data. It transmits the threat rating and early warning results to the application layer and presents them to users, thus realizing the security threat early warning of the distance education system. The experimental results show that the transcoding rate of this technology for the network behavior data of the distance education system is higher than 0.97, the early warning accuracy for the 10 types of network data of the distance education system can reach 100%, and the credibility of the early warning security threat of the types of DDOS IP, DDOS IP, phishing website URL address, and mobile malicious server IP address is higher than 0.96. Therefore, the technology has a strong capacity of behavior data storage in distance education systems, and can effectively warn different types of security threat in distance education systems. It has a more excellent application effect.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】threat information; Early warning technology; Information; early warning

【发表时间】2023

【收录时间】2023-11-08

【文献类型】 实验仿真

【DOI】 10.53106/160792642023092405013