【Author】 Wang, Ran Xu, Cheng Dong, Runshi Luo, Zhenghui Zheng, Rong Zhang, Xiaotong

【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-数据管理

【Abstract】Materials are the foundation of social development. The vigorous development of big-data technology has brought new opportunities for material research and development, gradually entering the data -driven paradigm. How to safely collect, store and utilize material big-data to realize the design and prediction of advanced materials has essential research significance and value. Many material big-data platforms have been constructed to gather multi-source heterogeneous material data. However, these traditional platforms are hard to realize the safe and efficient circulation and utilization of data. Relying on the national Materials Genome Engineering (MGE) project, we built a secured big-data sharing platform and proposed corresponding data collection, storage, utilization, and security solutions. On the one hand, the blockchain framework working as a 'middleware' provides a standard application program interface for data interaction between participants, and participants do not need to perceive the underlying system framework; on the other hand, it provides a unified management and security mechanism for the platform. In terms of collection, the dynamic container model is used to solve the data normalization problem, thereby improving data quality. In terms of storage, data adaptors store normalized data in different databases for distributed storage and unified scheduling. The platform provides a unified service gateway to schedule all services for data utilization. The secured big-data sharing platform can improve data utilization, promote material data sharing, accelerate material discovery, and serve the data needs of high-throughput computing and the design of new materials. (c) 2022 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】Materials genome engineering; Big data; Data sharing; Blockchain; Merkle Patricia Tree; Secure multi-party computation

【发表时间】2023

【收录时间】2023-02-23

【文献类型】 理论模型

【DOI】 10.1016/j.future.2022.12.026

【Author】 Ferreira, Ines A. Godina, Radu Pinto, Antonio Pinto, Pedro Carvalho, Helena

【Source】COMPUTERS & INDUSTRIAL ENGINEERING

【影响因子】7.180

【主题类别】

区块链应用-实体经济-可持续发展领域

【Abstract】The role of new technologies such as additive manufacturing and blockchain technology in designing and implementing circular economy ecosystems is not a trivial issue. This study aimed to understand if blockchain technology can be an enabler tool for developing additive symbiotic networks. A real case study was developed regarding a circular economy ecosystem in which a fused granular fabrication 3D printer is used to valorize polycarbonate waste. The industrial symbiosis network comprised four stakeholders: a manufacturing company that produces polycarbonate waste, a municipality service responsible for the city waste management, a start-up holding the 3D printer, and a non-profit store. It was identified a set of six requirements to adopt the blockchain technology in an additive symbiotic network, bearing in mind the need to have a database to keep track of the properties of the input material for the 3D printer during the exchanges, in addition to the inexistence of mechanisms of trust or cooperation between well-established industries and the additive manufacturing industry. The findings suggested a permissioned blockchain to support the implementation of the additive symbiotic network, namely, to enable the physical transactions (quantity and quality of waste material PC sheets) and monitoring and reporting (additive manufacturing technology knowledge and final product's quantity and price).Future research venues include developing blockchain-based systems that enhance the development of ad-ditive symbiotic networks.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Circular economy; Industrial symbiosis; Additive manufacturing; Blockchain technology; Circular economy ecosystems; Case study

【发表时间】2023

【收录时间】2023-02-23

【文献类型】 观点阐述

【DOI】 10.1016/j.cie.2022.108916

【Author】 Taloba, Ahmed I. Elhadad, Ahmed Rayan, Alanazi Abd El-Aziz, Rasha M. Salem, Mostafa Alzahrani, Ahmad A. Alharithi, Fahd S. Park, Choonkil

【Source】ALEXANDRIA ENGINEERING JOURNAL

【影响因子】6.626

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Blockchain technology must have sparked widespread interest, applications associated with data monitoring, banking sectors, computer security, the Internet of Things, and food chem-istry to the healthcare sector and cognitive science. The use of multimedia in the healthcare archi-tecture also allows for the storage, processing and transmission of patient information in a wide range of formats such as images, text and audio over the Internet using various smart particles. However, managing large amounts of data, including findings and images of each individual, increases human effort and increases protection risks. In this paper, to address these problems by using IoT in healthcare improves the performance of patient care while lowering costs by effi-ciently distributing healthcare resources. Nevertheless, various attackers can cause a variety of risks in IoT devices. To avoid these problems, Blockchain technology has been identified as the most effective method for maintaining the secrecy and security of control systems in real-time. This should provide a security architecture for healthcare multimedia content using blockchain technol-ogy by producing the hash of every information so that any transition or modification in informa-tion, as well as any breaches of medicines, would be evidenced across the whole blockchain platform. (c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria 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】Blockchain; Multimedia; Data processing; Internet of Things (IoT); Healthcare system; Data security

【发表时间】2023

【收录时间】2023-02-23

【文献类型】 理论模型

【DOI】 10.1016/j.aej.2022.09.031

【Author】 Liu, Ziming Xu, Yang Zhang, Cheng Elahi, Haroon Zhou, Xiaokang

【Source】DIGITAL COMMUNICATIONS AND NETWORKS

【影响因子】6.348

【主题类别】

区块链应用-实体经济-电力领域

【Abstract】Social Internet of Vehicles (SIoV) falls under the umbrella of social Internet of Things (IoT), where vehicles are socially connected to other vehicles and roadside units that can reliably share information and services with other social entities by leveraging the capabilities of 5G technology, which brings new opportunities and challenges, e.g., collaborative power trading can address the mileage anxiety of electric vehicles. However, it relies on a trusted central party for scheduling, which introduces performance bottlenecks and cannot be set up in a distributed network, in addition, the lack of transparency in state-of-the-art Vehicle-to-Vehicle (V2V) power trading schemes can introduce further trust issues. In this paper, we propose a blockchain-based trustworthy collaborative power trading scheme for 5G-enabled social vehicular networks that uses a distributed market mechanism to introduce trusted power trading and avoids the dependence on a centralized dispatch center. Based on the game theory, we design the pricing and trading matching mechanism for V2V power trading to obtain maximum social welfare. We use blockchain to record power trading data for trusted pricing and use smart contracts for transaction matching. The simulation results verify the effectiveness of the proposed scheme in improving social welfare and reducing the load on the grid.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Social internet of vehicles; Blockchain; Collaborative power trading; Vehicle-to-vehicle charging; 5G

【发表时间】2022

【收录时间】2023-02-23

【文献类型】 实验仿真

【DOI】 10.1016/j.dcan.2022.10.014

【Author】 Saviour, Mariya Princy Antony Samiappan, Dhandapani

【Source】ADVANCES IN ENGINEERING SOFTWARE

【影响因子】4.255

【主题类别】

区块链应用-实体经济-网安领域

【Abstract】Network security has benefited from intrusion detection, which may spot unexpected threats from network traffic. Modern methods for detecting network anomalies typically rely on conventional machine learning models. The human construction of traffic features that these systems mainly rely on, which is no longer relevant in the age of big data, results in relatively low accuracy and certain exceptional features. A storage authentication and access control model based on Interplanetary File System (IPFS) and a network intrusion detection system based on Chronological Anticorona Virus Optimization are hence the main goals of this research (CACVO-based DRN).The setup, user registration, initialization, data encryption and storage, authentication, testing, access control, and decryption stages are used here to perform the blockchain authentication and access control. After then, DRN is used to perform network intrusion detection. To do this, the recorded data log file is initially sent to the feature fusion module, which uses Deep Belief Network and hybrid correlation factors (DBN). After the feature fusion is complete, the proposed optimization technique, CACVO, which was recently developed by fusing the Chronological Concept with Anti Corona virus Optimization (ACVO) algorithm, is used to perform intrusion detection utilizing DRN. The experimental outcome shows that, based on the f-measure value of 0.939 and 0.938, respectively, the developed model achieved greater performance.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Deep belief network; Deep residual network; Chronological concept; Anti coronavirus optimization; Intrusion detection

【发表时间】2023

【收录时间】2023-02-23

【文献类型】 理论模型

【DOI】 10.1016/j.advengsoft.2022.103369

【Author】 Jeribi, Fathe Amin, Rashid Alhameed, Mohammed Tahir, Ali

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链应用-实体经济-建筑领域

【Abstract】Because of the rising population density, relationships are necessary to raise living standards through sending and receiving a wide range of services. Because of this, many means of object communication-regardless of their nature-are necessary to meet our daily needs. IoT is a network of physical things integrated with sensors, and software to communicate with each other. To establish a good connection, every object considered to be an associate of another object should meet certain requirements including scalability, interoperability, and trustworthiness. IoT security is a challenging task to protect the hardware and networks in the IoT system and a significant constraint to the deployment and realization of IoT. IoT security may include data confidentiality, authentication, access control, anonymity, and trust among services and products. Exchanging trust information is critical for assessing an entity's trustworthiness. Therefore, trust information must be shared and stored securely to ensure reliability, honesty, and safety. We propose a secure trust management scheme built on blockchain technologies to secure the entire system in transparency, traceability, and material integrity. We implement a blockchain-based trust management architecture for smart buildings that collect node trust proof. It assigns a trust score to each node, securely stores them in an array, then the threshold value is computed using the ID3 Algorithm. IoT threshold value is broadcasted into the blockchain network and stored in the trusted list. According to the findings, our approach encompasses security measures such as tamper-proofing, attack resistance, reliability, and low functionality for IoT in smart buildings.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Smart buildings; Internet of Things; Blockchains; Peer-to-peer computing; Security; Trust management; IoT security; block chain; smart building; trust management

【发表时间】2023

【收录时间】2023-02-23

【文献类型】 理论模型

【DOI】 10.1109/ACCESS.2022.3230944

【Author】 Aviv, Itzhak Barger, Artem Kofman, Alexander Weisfeld, Roye

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链应用-实体经济-其他

【Abstract】The blockchain paradigm and its application of Distributed Ledger Technology (DLT) are now enabling technologies for the worldwide development of trustworthy and decentralized solutions. DLT offers enormous potential to accommodate the intricate architectural patterns of individual Distributed Information Systems (DIS). Despite its immense potential, the current research effort is not focused on deploying DLT inside the DIS area. We identified sixteen essential DIS Architectural Properties (APs) that offer issues for DIS system architects using Grounded Theory. Then, we assessed the capabilities of the major DLT platform and highlighted its prospects and limits with regard to supporting DIS APs. Using the meta-analysis research technique, we demonstrated that DLT might serve as a development platform for a blockchain-native DIS (BN-DIS) that enables design and development processes. A BN-DIS utilizes DLT infrastructure and blockchain design principles to expand internationally, support thousands of distributed nodes, and employ DIS APs unique to the Blockchain. Lastly, we give a case study illustrating how DLT handles DIS APs in a real-world context, giving empirical proof of the DLT's efficacy in servicing DIS APs.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Distributed ledger; Blockchains; Distributed information systems; Peer-to-peer computing; Organizations; Computer architecture; Distributed ledger technology; blockchain; distributed information systems; permissioned blockchain

【发表时间】2023

【收录时间】2023-02-23

【文献类型】 理论模型

【DOI】 10.1109/ACCESS.2023.3235838

【Author】 Waseem, Muhammad Adnan Khan, Muhammad Goudarzi, Arman Fahad, Shah Sajjad, Intisar Ali Siano, Pierluigi

【Source】ENERGIES

【影响因子】3.252

【主题类别】

区块链应用-实体经济-电力领域

【Abstract】Smart grid integrates computer, communication, and sensing technologies into existing power grid networks to achieve significant informatization-related advantages. It will provide communication between neighbors, localized management, bidirectional power transfer, and effective demand response. Smart grids (SG) replace conventional grids by integrating various operational measures, including smart automation appliances, smart meters, and renewable energy sources. Regarding energy management and resolving energy issues, SG is one of the most cutting-edge and potentially game-changing innovations. Even still, its complexity suggests that decentralization may provide significant gains. Because of its increasing digitization and interconnectedness, it is also vulnerable to cyber threats. Blockchain, in this sense, is a potential SG paradigm solution that provides several great benefits. Even though blockchains have been widely discussed to decentralize and strengthen smart grid cybersecurity, they have not yet been researched in depth from an application and architectural standpoint. Blockchain-enabled SG applications are the subject of an in-depth research investigation. Electric vehicles (EVs), home automation, energy management systems, etc., are only a few of the many examples that have prompted the proposal of blockchain designs for their respective use cases. Information communication network security is of paramount importance. However, this evolving system raises cybersecurity issues. This paper aims to guide researchers in the right manner so they may build blockchain-based, secure, distributed SG applications in the future. This article also summarizes cybersecurity threats pertaining to smart grids. It starts with a description of a blockchain followed by the blockchain infrastructure, challenges, and solutions for different smart grid applications. A look back at the tried-and-true methods of securing a power grid is offered, and then it discusses the newer and more complex cybersecurity threats to the smart grid. In addition, models of common cyberattacks are presented, and the methods of defense against them are examined.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】smart grid; blockchain; cybersecurity; home automation; energy management; electric vehicles; cyberattacks; denial-of-service (DoS) attack

【发表时间】2023

【收录时间】2023-02-23

【文献类型】 理论模型

【DOI】 10.3390/en16020820

【Author】 Kirkwood, Jeffrey West

【Source】CRITICAL INQUIRY

【影响因子】1.944

【主题类别】

区块链技术-核心技术-共识机制

【Abstract】

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】2023-02-23

【文献类型】 观点阐述

【DOI】 10.1086/717303

【Author】 Vasukidevi, G. Sethukarasi, T.

【Source】CYBERNETICS AND SYSTEMS CCF-C

【影响因子】1.859

【主题类别】

区块链技术-协同技术-云存储

【Abstract】A cloud storage system is a system that saves information for an individual or company. The cloud system enables the owner of data to control and share his or her information with specific users. Because of the irrevocable consequences of inaccurate information, the integrity or interfere resistance characteristic is critical for cloud systems. Owing to its immutability and irreversibility, blockchain technology has emerged as a viable solution. Unfortunately, significant technological hurdles remain, such as limited storage, privacy concerns, irrevocable permission, poor performance, and high energy usage. The goal of this study is to address these blockchain disadvantages and offer a blockchain-based cloud storage paradigm. To ensure tamper resistance, the suggested model is designed with blockchain technology. To protect privacy, the master-key exchange method and other cryptographic approaches are used. Perfectly fine and dynamic access control, consent that may be revoked, integrity, and fraud resistance are all features of the proposed paradigm. A thorough security study demonstrates that this proposed paradigm is prove that its secure in terms of confidentiality and fraud resistance. The performance study reveals that this research methodology outperforms the existing technique in the literature in terms of overall performance.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; cloud storage; cryptographic; privacy concerns

【发表时间】

【收录时间】2023-02-23

【文献类型】 实验仿真

【DOI】 10.1080/01969722.2022.2157597

【Author】 Rekha, H. Siddappa, M.

【Source】CYBERNETICS AND SYSTEMS CCF-C

【影响因子】1.859

【主题类别】

区块链技术-协同技术-物联网

【Abstract】With IoT development, safety attacks are growing gradually as well. Numerous centralized attack-detecting schemes were developed for detecting IoT attacks namely, ML and DL schemes, which classify it as normal or attack. However, because to the various requirements of IoT devices, the most of the plans fall short of achieving noticeable results. In this study, a blockchain method is used to construct a novel attack-detecting scheme for IOT. Here, a system using blockchain is employed to process information in a logical sequence. At first, enhanced data normalization is deployed. Then, the features like "Exponential Moving Average, improved Holoentropy, higher-order statistical features, and mutual information" are extracted. Then feature selection is done via Improved Principal Component Analysis. The selected traits are evaluated "hybrid classification that includes Gated Recurrent Unit and Deep Belief Network" to discover the attacks in IoT. Finally, the advancements of this work are established over others. The proposed HC(GRU + DBN) scheme has attained higher accuracy of 97.2% for the best case of 92%,91%,94%,84%, and 92% to current schemes like SVM, RF, RNN, LSTM, and NB.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; hybrid classification; improved holoentropy; IoT; IPCA

【发表时间】

【收录时间】2023-02-23

【文献类型】 实验仿真

【DOI】 10.1080/01969722.2023.2166266

【Author】 Liu, Yanpei Zhu, Qi Chen, Ningning Zhu, Yunjing Wang, Liping

【Source】AUTOMATIC CONTROL AND COMPUTER SCIENCES

【影响因子】0.000

【主题类别】

区块链技术-协同技术-边缘计算

【Abstract】With the rapid growth of smart mobile devices, the limited resources and computing performance of mobile devices might increase the delay of processing tasks, resulting in greater energy and cost consumption by terminal devices. This study aimed to focus on the balance of delay and energy consumption in the mobile edge environment, considering the impact of computationally intensive network interference on system performance under blockchain and proposed a joint optimization algorithm for computing offloading and resource allocation of adaptive data block size in the edge environment. First, a computing offloading model and a communication model were established, and the problem model was optimized on that basis. Second, the incentive mechanism of a virtual currency based on blockchain was introduced, and a coordinate descent method was used to formulate the offloading decision of adaptive data block size. Then, a subchannel allocation was based on the improved Hungarian algorithm and the greedy algorithm while satisfying the user delay constraint. Finally, energy minimization problems were converted into power minimization problems, then into a convex optimization problem, and finally into the user's optimal transmit power. Experimental results showed that compared with similar computing offloading algorithms, the proposed offloading decision could reduce the energy consumption of the system while satisfying different time delay requirements of the users and improving the system performance.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】mobile edge computing; blockchain; offloading decision; adaptive data block size; resource allocation

【发表时间】2022

【收录时间】2023-02-23

【文献类型】 实验仿真

【DOI】 10.3103/S0146411622060104

【Author】 Ghosh, Uttam Tosh, Deepak Qureshi, Nawab Muhammad Faseeh Bashir, Ali Kashif Pathan, Al-Sakib Khan Ning, Zhaolong

【Source】FUTURE INTERNET

【影响因子】0.000

【主题类别】

区块链技术-协同技术-软件工程

【Abstract】

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】2023-02-23

【文献类型】 观点阐述

【DOI】 10.3390/fi14120382

【Author】 Tjondro, Elisa Hatane, Saarce Elsye Widuri, Retnaningtyas Tarigan, Josua

【Source】RISKS

【影响因子】0.000

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】The purpose of this study is to investigate the salient factors that influence Indonesian cryptocurrency owners in making their investment decision. This study employs intergroup bias, subjective norms, overborrowing, and spending control to explain cryptocurrency investment behavior. The questionnaire was collected from 309 respondents from the five largest internet user areas: Jakarta, Surabaya, Bandung, Semarang, and Medan. This study executes the research framework using binary logistic regression. The results reveal that intergroup bias and overborrowing are the most impulsive factors contributing to the cryptocurrency investment decisions over the past year. Furthermore, after November 2021, Indonesian crypto owners are more irrational in a bearish period since their investment decisions are driven by their desire to be accepted in the social group. Moreover, when they have overindebtedness, instead of solving their debt problems, they prefer to spend their money on cryptocurrency investments. The subjective norms' influencers suggest that crypto owners not invest when the cryptocurrency price is sharply declining. The findings contribute to the dual-systems perspective and social contagion theories, enriching the empirical study regarding investment behavior.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】cryptocurrency; intergroup bias; subjective norms; self-control; overborrowing; spending control; survey

【发表时间】2023

【收录时间】2023-02-23

【文献类型】 实证数据

【DOI】 10.3390/risks11010017