【Author】 Chen, Yansheng Jian, Pu Zhang, Yin Li, Jie Wu, Zhongkun Liu, Zhonghao

【Source】JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION

【影响因子】11.718

【主题类别】

区块链应用-实体经济-工业互联网

【Abstract】Blockchain, with its characteristics of decentralization, transparency, openness, and intangibility, has become the preferred choice for enhancing the credibility of the industrial cluster network platform. Industrial clusters are an important organizational form for developing small and medium-sized enterprises, and the information service platform plays a key role. This paper constructs a trusted paradigm model and a new trusted framework for the industrial cluster network platform and proposes an adaptive distributed network scheme. Specifically, it includes a decentralized and non-repudiable solution for the autonomous scenario of the industrial cluster Industrial Internet, promoting the transformation of the network into a self-adjusting and self-managing distributed network, enhancing the credibility of the platform, and reducing the negative impact of distrust and information asymmetry; it proposes three models (private chain, alliance chain, and public chain) for the integration of blockchain and the Industrial Internet, providing a secure and reliable support platform for the development of industrial clusters, solving the problem of information asymmetry, promoting trust and synergy, and maximizing the synergistic effect; from the perspective of security and reliability, it deeply analyzes the industrial cluster network platform, proposes a trusted framework, and realizes the data layer and application layer of the network with the help of blockchain technology. The experimental results show that these models meet the requirements of the industrial cluster in terms of data privacy, control, and credibility and have a positive significance for promoting the development and digital transformation of the industrial cluster.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Industrial internet; Industrial clusters network; Self-adjusting network; Distributed and trusted; Chain-network integration; Systematic solution

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 理论模型

【DOI】 10.1016/j.jii.2024.100664

【Author】 Sheikh, Saqib Sifat, Imtiaz

【Source】JOURNAL OF INNOVATION & KNOWLEDGE

【影响因子】11.219

【主题类别】

区块链治理-市场治理-DAO

【Abstract】The FTX scandal and crypto boom-and-bust cycles have called into question the sustainability of decentralised systems like DAOs. This article argues that inherent constraints will limit DAOs' mainstream adoption. We contend that the primacy of code in DAOs-represented by the code is law maxim-is overstated given semantic gaps in contracts. Crisis management is another serious bottleneck due to challenges of coordinating decisions without central authorities. Informal hierarchies may also emerge-in line with organisational theoretic concept of power clawing back, which would undermine decentralization objectives. Our analysis considers anonymous reputation verification, flexibility, and transparency to have more staying power and identifies scalability as the primary obstacle-stemming from high transaction costs and throughput constraints. (c) 2024 The Author(s). Published by Elsevier Espa & ntilde;a, S.L.U. on behalf of Journal of Innovation & Knowledge. 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】Decentralised finance; Blockchain technology; Financial intermediation; System risk; DAO; Decentralised autonomous organisation

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 观点阐述

【DOI】 10.1016/j.jik.2024.100513

【Author】 Liu, Yang Fu, Jianhao Zhang, Miaomiao Shi, Shidong Chen, Jingwen Peng, Song Wang, Yaoqi

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

【影响因子】8.839

【主题类别】

区块链应用-实体经济-物联网

【Abstract】Traditional partial synchronous Byzantine fault tolerant (BFT) protocols are confronted with new challenges when applied to large-scale networks like IoT systems, which bring about rigorous demand for the liveness and consensus efficiency of BFT protocols in asynchronous network environments. HoneyBadgerBFT is the first practical asynchronous BFT protocol, which employs a reliable broadcast protocol (RBC) to broadcast transactions and an asynchronous binary agreement protocol (ABA) to determine whether transactions should be committed. DumboBFT is a follow-up proposal that requires fewer instances of ABA and achieves higher throughput than HoneyBadgerBFT, but it does not optimize the communication overhead of HoneyBadgerBFT. In this paper, we propose TortoiseBFT, a high-performance asynchronous BFT protocol with three stages. We can significantly reduce communication overhead by determining the order of transactions first and requesting missing transactions after. Our two-phase transaction recovery mechanism enables nodes to recover missing transactions by seeking help from 2 f + 1 nodes. To improve the overall throughput of the system, we lower the verification overhead of threshold signatures in HoneyBadgerBFT, DumboBFT, and DispersedLedger from O ( n 3 ) to O ( n 2 ) . We develop a node reputation model that selects producers with stable network conditions, which helps to reduce the number of random lotteries. Experimental results show that TortoiseBFT improves system throughput, reduces transaction delays, and minimizes communication overhead compared to HoneyBadgerBFT, DumboBFT, and DispersedLedger.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Internet of Things (IoT); Asynchronous BFT protocol

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实验仿真

【DOI】 10.1016/j.jksuci.2024.102104

【Author】 Omidian, Hossein

【Source】DRUG DISCOVERY TODAY

【影响因子】8.369

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】This perspective paper explores the synergistic potential of blockchain and artificial intelligence (AI) in transforming healthcare. It begins with an overview of blockchain's role in healthcare data management, security, the pharmaceutical supply chain, clinical trials, and health insurance. The discussion then shifts to the impact of AI on healthcare, followed by an examination of integrated AI- blockchain platforms and their benefits. Technical challenges, limitations, and solutions related to these technologies are scrutinized. The paper addresses regulatory compliance and ethical considerations, and proposes future directions for their implementation. It concludes with research and implementation guidelines, offering a roadmap for harnessing blockchain and AI to enhance healthcare outcomes.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; artificial intelligence; healthcare challenges; data security; personalized medicine

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 观点阐述

【DOI】 10.1016/j.drudis.2024.104111

【Author】 Zhao, Xu Wu, Yichuan Zhao, Tianhao Wang, Feiyu Li, Maozhen

【Source】JOURNAL OF NETWORK AND COMPUTER APPLICATIONS CCF-C

【影响因子】7.574

【主题类别】

区块链应用-实体经济-物联网

【Abstract】Mobile edge computing (MEC) enables computation intensive applications in the Internet of Vehicles (IoV) to no longer be limited by device resources. However, the lack of an effective task scheduling strategy will seriously affect users' quality of experience (QoE). In this paper, a task type-based task offloading and resource allocation strategy is proposed to reduce delay and energy consumption during task execution. First, we establish communication, computing, and system cost models based on task offloading schemes, and model the joint optimization problem of task offloading and resource allocation as a Markov decision process. The utility function is obtained based on the task completion rate and the system cost. Second, an algorithm framework based on multi-agent deep deterministic policy gradient (MADDPG) is designed to solve the difficulty that traditional single-agent reinforcement learning algorithms are difficult to converge in a dynamic environment. In distributed scenarios, the proposed framework can also reduce system costs while handling more tasks. Finally, federated learning is introduced in the training process to reduce the impact of non-IID data while protecting privacy. Simulation results show that the proposed algorithm can effectively improve system processing efficiency and reduce device energy consumption compared to the popular reinforcement learning algorithms.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Internet of vehicles; Mobile edge computing; Deep reinforcement learning; Federated learning; Task offloading; Resource allocation

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实验仿真

【DOI】 10.1016/j.jnca.2024.103941

【Author】 Xie, Yumeng Fan, Qing Zhang, Chuan Wu, Tong Zhou, Yuao He, Debiao Zhu, Liehuang

【Source】IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY CCF-A

【影响因子】7.231

【主题类别】

区块链技术-核心技术-签名方案

【Abstract】Threshold signatures as a method to realize multi-party cooperation and trust distribution in blockchain have been widely studied in recent years. However, among these researches, few threshold signature schemes achieve all the properties of accountability, privacy, and key protection for the EdDSA-based blockchain systems. To fill this gap, we propose an EdDSA-based accountable threshold signature protocol with privacy and proactive refresh, named TAPS-PR. Meanwhile, we define new security models and give a detailed analysis to prove protocol security. In TAPS-PR, the threshold is variable and hidden with the signing quorum from the public view. However, the signing quorum can be traced when threshold signatures related to fraudulent events are generated. We also enhance the key security of each signer by proactive refresh, which realizes updating the private key while the public key remains unchanged. Apart from that, we present ATS-PR with increased efficiency and reduced communication cost at the cost of weaker security. The theoretical analysis and experimental results indicate that our protocols perform efficiently in terms of communication and computation overhead. Furthermore, we use Tezos, a blockchain project employing EdDSA, as a case study to demonstrate the compatibility of our protocol with real-world blockchain applications.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Protocols; Blockchains; Security; Privacy; Costs; Fans; Robustness; Threshold signature; EdDSA; accountable; proactive refresh; privacy; blockchain

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实验仿真

【DOI】 10.1109/TIFS.2024.3428848

【Author】 Omole, Oluwadamilare Enke, David

【Source】FINANCIAL INNOVATION

【影响因子】6.793

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】This paper applies deep learning models to predict Bitcoin price directions and the subsequent profitability of trading strategies based on these predictions. The study compares the performance of the convolutional neural network-long short-term memory (CNN-LSTM), long- and short-term time-series network, temporal convolutional network, and ARIMA (benchmark) models for predicting Bitcoin prices using on-chain data. Feature-selection methods-i.e., Boruta, genetic algorithm, and light gradient boosting machine-are applied to address the curse of dimensionality that could result from a large feature set. Results indicate that combining Boruta feature selection with the CNN-LSTM model consistently outperforms other combinations, achieving an accuracy of 82.44%. Three trading strategies and three investment positions are examined through backtesting. The long-and-short buy-and-sell investment approach generated an extraordinary annual return of 6654% when informed by higher-accuracy price-direction predictions. This study provides evidence of the potential profitability of predictive models in Bitcoin trading.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Backtesting; Bitcoin; Cryptocurrency; Deep learning; Feature selection; On-chain data

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实证数据

【DOI】 10.1186/s40854-024-00643-1

【Author】 Kashyap, Ravi

【Source】RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE

【影响因子】6.143

【主题类别】

区块链应用-实体经济-金融领域

【Abstract】We develop several innovations to bring the best practices of traditional investment funds to the blockchain landscape. Specifically, we illustrate how: (1) fund prices can be updated regularly like mutual funds; (2) performance fees can be charged like hedge funds; (3) mutually hedged blockchain investment funds can operate with investor protection schemes, such as high water marks; and (4) measures to offset trading related slippage costs when redemptions happen. Using our concepts - and blockchain technology - traditional funds can calculate performance fees in a simplified manner and alleviate several operational issues. Blockchain can solve many problems for traditional finance, while tried and tested wealth management techniques can benefit decentralization, speeding its adoption. We provide detailed steps - including mathematical formulations and instructive pointers - to implement these ideas and discuss how our designs overcome several blockchain bottlenecks, making smart contracts smarter. We provide numerical illustrations of several scenarios related to our mechanisms.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Performance fees; High water mark; Asset price; Blockchain; Smart contract; Investor protection; Investment fund

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实验仿真

【DOI】 10.1016/j.ribaf.2024.102487

【Author】 Rogalski, Timo Schiereck, Dirk

【Source】ELECTRONIC MARKETS

【影响因子】6.017

【主题类别】

区块链应用-实体经济-企业管理

【Abstract】In the era of emerging technologies, many firms explore the role of blockchain technology and its impact on corporate market value. Past research has shown that companies benefit from executing blockchain projects, but little is known about specific value and risk drivers. Hence, we provide evidence for several conditions under which blockchain provides additional firm market value. Moreover, we test whether blockchain announcements lead to changes in the systematic risk of firms. Theoretically founded on the resource-based view, we utilize the event study methodology, supplemented by a multivariate regression and a firm's beta analysis. We find that stock markets react positively to corporate blockchain news if the announcement is related to a blockchain consortium or partnership, is declared by a tech company, or if the announcement is a follow-up announcement to initial blockchain news. Moreover, our findings show that blockchain announcements do not lead to significant changes in a firm's systematic risk.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Market value; Market risk; Event study; G14

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实证数据

【DOI】 10.1007/s12525-024-00718-y

【Author】 Rajput, Amitesh Singh Agarwal, Arnav Raja, Kiran B.

【Source】COMPUTER COMMUNICATIONS CCF-C

【影响因子】5.047

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Innovation in medical technology and communication has rapidly empowered the development of smart healthcare devices. This has led to privacy breaches, threats and vulnerabilities to sensitive patient data that result in unwanted or targeted advertising. Previous research has focused on protecting access to sensitive patient data from unauthorized entities, especially by defining roles of healthcare entities in the overall system with their access privileges. However, such efforts need to be further robust due to the involvement of a single key authority that may lead to a critical point of failure. In this paper, this vulnerability has been addressed by developing a novel approach to crucially increase the number of key authorities using homomorphic encryption. The proposed approach ensures genuine access to the verified entity by forming a subsystem of t key authorities from a total of n authorities (t < n). This creates rigorous challenge to a malicious attacker, obfuscating the selection and functioning of key access packets in a multi-key authority setup. The results of the proposed approach achieve medical data confidentiality, entity authentication, and strategic data sharing. The security of the proposed approach is assessed for different vulnerabilities of the overall system using a challenge-response game model. Moreover, the proposed approach is found to be better and secure as compared to existing schemes.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Access control; Key management; Homomorphic encryption; e-healthcare

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实验仿真

【DOI】 10.1016/j.comcom.2024.07.005

【Author】 de Miranda, Livia Maria Bettini Garcia, Rodrigo Dutra Ramachandran, Gowri Sankar Ueyama, Jo Guerrini, Fabio Muller

【Source】JOURNAL OF INFORMATION SECURITY AND APPLICATIONS

【影响因子】4.960

【主题类别】

区块链应用-实体经济-投票领域

【Abstract】Electronic voting systems can support a key behavioral process in inter-organizational collaboration - collective decision-making - but typically face challenges related to single points of failure from centralized databases and trusted third parties to deal with privacy voting requirements. To address such issues, this work presents a decentralized voting system based on blockchain technology, Fully Homomorphic Encryption, tokenization, and Proof-of-Stake mechanisms to promote the system's sustainability while enhancing voting privacy and anonymization. Our solution introduces verifiability to voting processes without any trusted intermediaries. We use the inter-organizational collaboration use case since it introduces additional voting requirements in the private domain, such as promoting cooperative behavioral processes to develop trustworthy relationships between organizations. Our proof-of-concept implementation and evaluation results show that the proposed solution provides voting privacy with adequate computational costs.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Voting system; Inter-organizational collaboration; Fully homomorphic encryption; Privacy

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实验仿真

【DOI】 10.1016/j.jisa.2024.103837

【Author】 Kumar, Neeraj Ali, Rifaqat

【Source】AD HOC NETWORKS CCF-C

【影响因子】4.816

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Nanotechnology has recently emerged as a pivotal field with wide-ranging implications. Its integration into the 6G-enabled Internet of Things (IoT) has given rise to the 6G-enabled IoNT (Internet of Nano Things) paradigm, impacting sectors such as healthcare, industries, smart homes, aerospace, and defense. This technology offers opportunities to revolutionize existing methodologies and enhance efficiency. Research efforts are now focusing on developing secure, scalable network infrastructures tailored for the healthcare sector at the nanoscale, leading to the concept of the Internet of Nano Medical Things (IoNMT). However, the unique characteristics of nanotechnology pose security challenges, particularly concerning privacy, confidentiality, dependability, latency, and the expensive consequences of blockchain-based storage. Authentication and transparency are vital for ensuring secure data handling in IoNMT networks, necessitating a secure access mechanism resistant to unauthorized interference. To tackle these challenges, this study proposes a smart contract-based authentication protocol developed specifically for 6G-IoNMT networks. The framework aims to manage real-time information with minimal latency through decentralized peer-to-peer cloud servers while addressing security and privacy concerns. Thorough security and privacy assessments, including ROR model evaluations, Scyther tool analysis, and informal security evaluations, validate the protocol's effectiveness. Moreover, the simulation highlights that this protocol offers superior security and efficiency as well as energy consumption compared to existing protocols.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】IoNT (Internet of Nano Things); IoNMT (Internet of Nano Medical Things); Authentication; Blockchain

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实验仿真

【DOI】 10.1016/j.adhoc.2024.103606

【Author】 Deng, Yinjuan Wang, Shangping Wang, Jifang Yan, Ruoxin

【Source】IEEE SENSORS JOURNAL

【影响因子】4.325

【主题类别】

区块链技术-核心技术-认证机制

【Abstract】The data collected by sensors in the Internet of Things (IoT) plays a crucial role in achieving predictive analysis, resource optimization, and other related applications. However, its vulnerability to network attacks during transmission raises the issue of data authenticity, which hinders its utilization. Data authentication technology can be used to address this puzzle. Nevertheless, current solutions still need improvement in terms of security and efficiency. The centralized authentication schemes may suffer from a single point of failure or center corruption. Existing decentralized solutions only achieved individual authentication, which is not efficient in the distributed collection system. In this work, we present a new decentralized batch data authentication approach, named blockchain-assisted efficiency and secure data authentication scheme (BAESDA), to enable distributed authentication of multiple sensors' data at once. BAESDA integrates a novel data authentication protocol and a smart contract based on homomorphic hash. The novel data authentication protocol based on the hash chain is intended for sensors with limited computation, storage, and communication to ensure data authenticity and confidentiality, and enables the gateways to swiftly verify and aggregate the authentication messages. The data authentication contract is designed to efficiently achieve decentralized batch data authentication on the blockchain. Furthermore, the abnormal gateways can be identified by the proposed abnormal data detection algorithm. Finally, we conduct a thorough security analysis for BAESDA, evaluate the proposed authentication protocol through simulation experiments, and deploy the proposed smart contracts on the Hyperledger Fabric 2.4.1 for testing. The results indicate that our solution is secure and efficient.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; data authentication; hash chain; homomorphic hash; internet of Things (IoT)

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实验仿真

【DOI】 10.1109/JSEN.2024.3370146

【Author】 Rana, Muhammad Tayyab Numan, Muhammad Yousif, Muhammad Hussain, Tanveer Khan, Akif Zia Zhao, Xianxian

【Source】COMPUTERS & ELECTRICAL ENGINEERING

【影响因子】4.152

【主题类别】

区块链应用-实体经济-能源领域

【Abstract】The global shift towards reducing carbon emissions has spurred a growing interest in electric vehicles (EVs) over traditional fossil fuel-based internal combustion engines. Concurrently, blockchain technology has emerged as a transformative solution across various sectors, characterized by its decentralized database and distributed ledger. Its notable attributes, including transparency, immutability, traceability, security, auditability, and authenticity, have led major companies to recognize its potential integration into the EV sector. As a result, there has been a steady increase in case studies and research initiatives exploring blockchain applications in EVs. This article provides a detailed overview of the use of blockchain in the EV domain, focusing on the challenges and applications in four key areas: EV charging infrastructure, energy trading, supply chain management, and energy management. Initially, the basic concepts of blockchain technology are briefly explained, followed by its applications in different fields. The study presents the opportunities and crucial requirements for implementing blockchain technology for secure energy trading, charging, energy management, and supply chain operations. While blockchain can improve security and efficiency in the EV domain, it remains vulnerable to various attacks. This article explores these attacks and other potential challenges in integrating blockchain technology in the EV sector. The main findings of this rEView provide insights into the importance of blockchain in the EV sector and underscore the need to overcome existing challenges for the widespread adoption of this technology in the near future.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain technology; EVS; Energy trading; Smart contracts; Energy management; Charging infrastructure

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 观点阐述

【DOI】 10.1016/j.compeleceng.2024.109503

【Author】 Liu, Jiajun Zhang, Jie Leng, Jiewu

【Source】SCIENCE CHINA-TECHNOLOGICAL SCIENCES

【影响因子】3.903

【主题类别】

区块链应用-实体经济-供应链

【Abstract】Supplier selection is an important business activity in order to realize the purchasing function in supply chain management. The supplier selection process includes four stages, i.e., bidding inviting, bidding, group decision-making, and results disclosure, involving the participation of manufacturing service demanders (MSDs), manufacturing service suppliers (MSSs), and decision-makers. Nowadays, all the participants have raised concerns about the increased transparency in supplier selection. Therefore, this study proposes a transparent supplier selection method by considering the engagement of suppliers. In this method, the Bayesian best-worst method (Bayesian BWM) is used to aggregate decision-makers' preferences into the overall optimal weights of the alternative MSSs, and the MSS with the largest weight is considered the suitable MSS for MSDs. Furthermore, blockchain is introduced to record the decision-making process information about supplier selection through a customized smart contract, where MSSs act as supervisors to supervise the decision-making process through the distributed consensus mechanism rather than directly participate in the decision-making process. Finally, a case study of supplier selection in purchasing vibration acceleration sensors is presented. The result shows that the proposed method can support MSDs in selecting suitable MSS from alternative MSSs by aggregating decision-makers' preferences, and blockchain can provide credible information about the supplier selection process for MSSs, MSDs, and decision-makers. In this way, the transparency of supplier selection is enhanced.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; supplier selection; supply chain transparency; Bayesian BWM; group decision-making

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 案例研究

【DOI】 10.1007/s11431-024-2677-0

【Author】 Anwar, Masooma Tariq, Noshina Ashraf, Muhammad Moqurrab, Syed Atif Alabdullah, Bayan Alsagri, Hatoon S. Almjally, Abrar

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Cybersecurity challenges pose a significant threat to Healthcare Cyber Physical Systems (CPS) because they heavily rely on wireless communication. Particularly, jamming attacks can severely disrupt the integrity of these CPS networks. This research introduces a decentralized system to address this issue. Therefore, this paper suggested a system that leverages trust and blockchain technology to detect jamming attacks in healthcare CPS effectively. It proposes a layered model to improve CPS networks' lifetime and performance. In smart healthcare environments, it ensures secure and reliable communication between sensor nodes, wearable sensors, medical devices, and monitoring systems. Results show that the suggested approach outperforms the baseline model in identifying and minimizing jamming assaults, with an average percentage difference of 15.71% more detection rate, 20.21% less packet loss rates, 16.65% less node-level energy consumption, reduced network latency of 8.29%, and 9.63% more network throughput.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Smart healthcare; Cyber-physical systems; jamming attacks; sensor nodes; trust; Smart healthcare; Cyber-physical systems; jamming attacks; sensor nodes; trust

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实验仿真

【DOI】 10.1109/ACCESS.2024.3404656

【Author】 Ahmed, Ahmed Abdelmoamen Alabi, Oluwayemisi O.

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链技术-协同技术-联邦学习

【Abstract】With the wide adoption of cryptocurrency, blockchain technologies have become the foundation of such digital currencies. However, this adoption has been accompanied by a surge in cryptocurrency fraud, causing significant losses to financial organizations and individuals. One way to mitigate these losses is to use Federated Learning (FL) techniques to detect fraudulent cryptocurrency transactions. This paper provides an overview of secure, privacy-preserving, and scalable Blockchain-based Federated Learning (BCFL) as a promising solution for slowing the exponential growth of cryptocurrency fraud. BCFL enables multiple entities to collaboratively train machine learning models for detecting fraudulent cryptocurrency transactions without sharing their private data, thus preserving privacy. However, Integrating differential privacy and Secure Multi-party computation (SMPC) models in BCFL presents an additional scalability challenge. This study provides an overview of BCFL, evaluating existing research on its security, privacy, and scalability challenges in detecting cryptocurrency fraud. The review explores existing research and various methodologies, highlighting advancements and challenges in creating effective, privacy-conscious fraud detection solutions for cryptocurrency transactions. We first discuss the current state of BCFL in fraud detection, along with its potential advantages and limitations, and then discuss the existing research gaps. In particular, this paper examines various BCFL frameworks, consensus algorithms, and block architectures, emphasizing their strengths and limitations in the context of cryptocurrency fraud detection to develop scalable and privacy-preserving solutions. We compare various solutions that address scalability and privacy challenges in BCFL, including adopting a geographically distributed cloud computing model that utilizes SMPC and lightweight consensus algorithms and protocols to manage computational overheads.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; cryptocurrency; fraud; federated learning; scalability; security; privacy; literature review; Blockchain; cryptocurrency; fraud; federated learning; scalability; security; privacy; literature review

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 综述

【DOI】 10.1109/ACCESS.2024.3429205

【Author】 Patel, Nishi Patel, Dhyan Jadav, Nilesh Kumar Rathod, Tejal Tanwar, Sudeep Pau, Giovanni Sharma, Gulshan Alqahtani, Fayez Tolba, Amr

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】The healthcare industry is exponentially growing its dependence on smart wearables and remote devices for efficient treatment and diagnosis. These smart devices benefit the healthcare industry, but they raise serious security and integrity concerns while exchanging healthcare data. These devices are primarily meant for data dissemination; hence, they are equipped with weak security protocols that are susceptible to attacks like distributed denial-of-service (DDoS), data injection, and man-in-the-middle (MiTM) attacks. To circumvent the aforementioned security challenges, this article proposed a secure and intelligent data exchange framework for smart healthcare systems. For that, we amalgamate artificial intelligence (AI) and blockchain technology to strengthen the security of data dissemination between smart medical devices. Further, we adopted fuzzy logic that extracts the essential features from the healthcare security dataset to enhance the detection rate of AI models. We used different AI algorithms such as logistic regression (LR), random forest (RF), decision trees (DT), stochastic gradient descent (SGD), and Gaussian naive Bayes (GNB) to classify healthcare data into malicious and non-malicious. The predicted data can still be maneuvered by adversaries that introduce subtle changes that skew the results to their advantage. Therefore, we employed blockchain technology that stores non-malicious healthcare data (predicted data) from data tampering attacks. The developed smart contract validates the non-malicious healthcare data and only allows them to be securely stored inside the interplanetary file system (IPFS)-based public blockchain. The proposed framework is evaluated by considering various evaluation metrics like recall, precision, accuracy, F1 score, area under the curve (AUC) score, and blockchain scalability.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Medical services; Artificial intelligence; Blockchains; Accuracy; Feature extraction; Sensors; Medical information systems; Data security; Machine learning; Wearable devices; Smart contracts; Healthcare data security; blockchain; fuzzy logic; artificial intelligence; machine learning; wearable devices; smart contract

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 理论模型

【DOI】 10.1109/ACCESS.2024.3432662

【Author】 Ge, Chenyu Qin, Shengfeng

【Source】IET INTELLIGENT TRANSPORT SYSTEMS CCF-C

【影响因子】2.568

【主题类别】

区块链应用-实体经济-交通领域

【Abstract】Digital twin (DT) has attracted much attention from the transportation community over the past 6 years. Combining the DT with intelligent transportation system (ITS) forms a digital twin intelligent transportation system (DT-ITS), which stands as one of the most effective solutions for addressing current complex traffic problems. Due to the rapid advancements in this field and a lack of recent literature reviews, this paper first reviews relevant literature on DT-ITS architecture design, to comprehend its core structure, methods, potential services and stakeholders, and implementation challenges, and then discusses DT-ITS core considerations, aiming to provide a general configuration model of DT-ITS for future development. Second, this paper focuses on reviewing the existing progress of DT-ITS services within the 32 categories of ITS services, adopting the service-centred point of view, to explore the potential DT-ITS services, proposed delivery methods, challenges, and opportunities for various stakeholders. Third, key enabling technologies supporting DT-ITS are reviewed and discussed, such as data fusion, cooperative perception, multi-access edge computing (MEC) (including computing offloading and service caching), federated learning, edge-cloud collaboration, secure and efficient communication (including Blockchain [BC], 5G), virtual modelling, and eXtended reality (XR). Finally, the paper identifies development trends and provides recommendations for future advancements. This paper provides a systematic literature review and discusses the future development trends and road map. image

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】client-server systems; cloud computing; computer simulation; cyber-physical systems; service-oriented architecture; smart cities

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 综述

【DOI】 10.1049/itr2.12539

【Author】 Xuan, Vu Ngoc

【Source】ENERGY EXPLORATION & EXPLOITATION

【影响因子】2.500

【主题类别】

区块链应用-实体经济-环保领域

【Abstract】Technology Revolution 5.0, characterized by the integration of cutting-edge technologies (CET) like artificial intelligence (AI), internet of things (IoT), and blockchain into various facets of life, has brought remarkable advancements and conveniences. However, this era has also raised significant concerns regarding its environmental impact. The paper applies the ARDL (autoregressive distributed lag approach). The manuscript applied the World Bank data from 2000 to 2022. This paper aims to delve into the determinants contributing to carbon dioxide emissions in the context of industrial revolution 5.0, focusing on Singapore as a case study. The article combines a review of the existing literature, an analysis of the Singaporean environmental landscape, and empirical findings to shed light on this critical issue. The empirical study shows that electricity consumption and foreign direct investment significantly negatively affect environmental pollution in Singapore; fossil fuel and import positively influence ecological pollution. This article helps policymakers have policy implications for Singaporeans in the future.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Technology Revolution 5.0; carbon dioxide emissions; electricity consumption; fossil fuel consumption

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实证数据

【DOI】 10.1177/01445987241269448

【Author】 Lim, Jihye Hwang, Junseok

【Source】KYBERNETES

【影响因子】2.352

【主题类别】

区块链应用-实体经济-知识管理

【Abstract】PurposeTechnological tools for knowledge management (KM) actively support and enhance knowledge acquisition and sharing in organizations. However, technology for KM has been understudied, especially in terms of disruptive technologies (DTs). There is a need to identify how DTs, which are becoming increasingly important in industry and society, are applied to KM and their impact. This paper aims to examine the current state of technology and DT adoption in KM.Design/methodology/approachThe analysis involves four steps. First, we examine the current status of DT in academia through a keyword co-occurrence network of literature. Second, we analyze the technological convergence (TC) of KM technology through the cooperative patent classification code co-classification analysis of patents. Third, we explore the main topics of KM technologies using BERTopic, and finally, we explore the introduction of DT into KM technologies and suggest potential TC combinations for the future.FindingsKM technologies can be categorized into four main topics (knowledge acquisition, sharing, searching, and transfer), and DT is most often applied to knowledge transfer and acquisition. The DTs that are attracting attention from academia and industry are artificial intelligence, augmented and virtual reality, and blockchain, which have applications in healthcare, supply chain management, and human resource management.Originality/valueThe findings provide useful insights for organizations to build a technology roadmap for KM. They can also improve the rigid mindset of organization employees toward DT adoption and innovation. By adopting a KM system that leverages DT, organizations will be able to manage and operate efficiently and systematically.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Knowledge management; Disruptive technologies; Technological convergence; Patent analysis; BERTopic; Cooperative patent classification

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 综述

【DOI】 10.1108/K-01-2024-0207

【Author】 Shi, Zhangyue Oskolkov, Boris Tian, Wenmeng Kan, Chen Liu, Chenang

【Source】JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

【影响因子】2.300

【主题类别】

区块链应用-虚拟经济-物联网

【Abstract】The advancement of sensing technology enables efficient data collection from manufacturing systems for monitoring and control. Furthermore, with the rapid development of the Internet of Things (IoT) and information technologies, more and more manufacturing systems become cyber-enabled, facilitating real-time data sharing and information exchange, which significantly improves the flexibility and efficiency of manufacturing systems. However, the cyber-enabled environment may pose the collected sensor data with high risks of cyber-physical attacks during the data and information sharing. Specifically, cyber-physical attacks could target the manufacturing process and/or the data transmission process to maliciously tamper the sensor data, resulting in false alarms or failures in anomaly detection in monitoring. In addition, cyber-physical attacks may also enable illegal data access without authorization and cause the leakage of key product/process information. Therefore, it becomes critical to develop an effective approach to protect data from these attacks so that the cyber-physical security of the manufacturing systems can be assured in the cyber-enabled environment. To achieve this goal, this paper proposes an integrative blockchain-enabled data protection method by leveraging camouflaged asymmetry encryption. A real-world case study that protects the cyber-physical security of collected sensor data in additive manufacturing is presented to demonstrate the effectiveness of the proposed method. The results demonstrate that malicious tampering could be detected in a relatively short time (less than 0.05 ms), and the risk of unauthorized data access is significantly reduced as well.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; camouflaged encryption; cyber-physical security; manufacturing system; sensor data protection; cyber manufacturing; industrial Internet of things

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 案例研究

【DOI】 10.1115/1.4063859

【Author】 Mayol, Julio

【Source】CIRUGIA ESPANOLA

【影响因子】2.242

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Digitalization is the conversion of analog data and information to a digital format based on bits. Digitalization allows information to be managed in a simple and standardized way. Digital health solutions are technologies that use the digitalization of data and information to improve the health sector in various aspects, such as prevention, diagnosis, treatment, monitoring, research, innovation, training, management and evaluation of health services. These technologies range from mobile applications and telemedicine to artificial intelligence and blockchain, with advantages, barriers, and risks for their application in health care. (C) 2023 Published by Elsevier Espana, S.L.U. on behalf of AEC.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Digitalization; Artificial intelligence; Telemedicine; Blockchain; Wearables

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 观点阐述

【DOI】 10.1016/j.cireng.2023.11.011

【Author】 Ur Rehman, Ubaid Mahmood, Tahir

【Source】JOURNAL OF APPLIED MATHEMATICS AND COMPUTING

【影响因子】2.196

【主题类别】

区块链应用-实体经济-商业领域

【Abstract】Blockchain technology is a digital ledger technology that is used to store and manage data in a decentralized and secure way. It is essentially a database that is distributed across a network of computers, and every block of data is connected to the prior block, forming a chain of blocks (hence the name "blockchain"). Blockchain technology can transform the way multinational companies operate, enabling them to operate more efficiently, securely, and transparently in a globalized business environment. The selection of the best and finest blockchain technology for any multinational company is not an easy task. Thus, in this script, we generate primary operations relying on Yager t-norm and t-conorm for bipolar fuzzy information and then generate aggregation operators under bipolar fuzzy information such as bipolar fuzzy Yager weighted averaging, bipolar fuzzy Yager ordered weighted averaging, bipolar fuzzy Yager weighted geometric and bipolar fuzzy Yager ordered weighted geometric operators based on initiated operations. Moreover, we generate an approach to decision-making by employing the generated operators to tackle real-life decision-making dilemmas. Afterward, we initiate a case study i.e., ordering blockchain technology for Multinational companies. Towards the end of this script, to reveal the superior qualities and benefits of the generated work, we conduct a comparative analysis between the current and generated work.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain technology; Yager t-norm and t-conorm; Aggregation operators; Bipolar fuzzy information

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实验仿真

【DOI】 10.1007/s12190-024-02181-6

【Author】 Dayyani, Aboulfazl Abbaspour, Maghsoud

【Source】CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

【影响因子】1.831

【主题类别】

区块链应用-虚拟经济-物联网

【Abstract】The Social Internet of Things (SIoT) allows for more efficient and intelligent communication between entities (humans and objects). Managing the digital identity of objects, protecting the owner's privacy, and resisting impersonation attacks are crucial challenges in SIoT. On the other hand, the classic centralized identity provider servers contain valuable information for hackers and malicious parties. Effective solutions can be presented using decentralized technologies such as blockchains. This paper proposes a decentralized identity management system for SIoT based on smart contract technology. This system drives object identity control; conversely, a zero-knowledge-based protocol and double-spend prevention ideas are proposed for privacy preservation and Sybil attack resistance, respectively. The central idea is to implement self-sovereign identity (SSI) so that even certifiers are not privy to object-sensitive information. Additionally, it attempts to prevent the owner from creating Sybil objects using the web of trust method. The method's scalability and convergence can be proven by considering all acknowledgment nodes and different paths. This method was compared with the most novel available methods; the results from this comparison depict the scalability and effectiveness of the proposed method for large networks.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】privacy-preserving; self-sovereign identity; smart contract; social internet of things; Sybil attack; web of trust; zero-knowledge proof

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实验仿真

【DOI】 10.1002/cpe.8201

【Author】 Chen, Ning Li, Hanxiong

【Source】QUALITY ASSURANCE AND SAFETY OF CROPS & FOODS

【影响因子】1.672

【主题类别】

区块链应用-实体经济-农牧领域

【Abstract】As globalization and technological advancements progress, the integrated agricultural industry development model has become crucial for agricultural modernization. This model fosters inter-industry integration, enhancing agricultural competitiveness and sustainability. However, it also introduces new challenges, such as increased risk spillover and outdated regulatory mechanisms. This study employs a vector autoregression (VAR) model and a directed weighted risk spillover network for a quantitative analysis of risk dynamics within agricultural markets, identifying pathways and influencers of risk transmission across industry segments. A blockchain-based regulatory framework is proposed to improve traceability, regulatory efficiency, and data security in agricultural product management. This includes the development of registration processes, smart contracts, consensus mechanisms, and data upload protocols. The research expands the theoretical base of agricultural economic security and offers practical policy guidance, with substantial academic and practical implications. It highlights how blockchain can address market trust issues, mitigate information asymmetry, and reduce potential risks, contributing to the healthier development of agricultural economy.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】integrated agricultural industry; agricultural economic security; risk spillover effect; vector autoregression; model; blockchain; regulatory mechanisms; data security

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实验仿真

【DOI】 10.15586/qas.v16i3.1470

【Author】 Zhao, Ge Li, Xiangrong Li, Hao

【Source】INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS CCF-C

【影响因子】1.478

【主题类别】

区块链技术-协同技术-物联网

【Abstract】In edge computing scenarios, due to the wide distribution of devices, complex application environments, and limited computing and storage capabilities, their authentication and access control efficiency is low. To address the above issues, a secure trusted authentication scheme based on semantic Long Short-Term Memory (LSTM) and blockchain is proposed for IoT applications. The attribute-based access control model is optimized, combining blockchain technology with access control models, effectively improving the robustness and credibility of access control systems. Semantic LSTM is used to predict environmental attributes that can further restrict user access and dynamically meet the minimum permission granting requirements. Experiments show that when the number of certificates is 60, the computational overhead of the proposed method is only 203s, which is lower than other state-of-the-art methods. Therefore, the performance of the proposed schema in information security protection in IoT environments shows promise as a scalable authentication solution for IoT applications.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Attribute-based access control; Blockchain; Edge computing; Internet of Things; Long Short-Term Memory

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实验仿真

【DOI】 10.4018/IJSWIS.341233

【Author】 Feng, Tao Cui, Yuyang

【Source】INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS CCF-C

【影响因子】1.478

【主题类别】

区块链治理-技术治理-智能合约漏洞检测

【Abstract】In recent years, smart contracts have risen rapidly in the blockchain field, but security issues have also become increasingly prominent. Due to the lack of unified evaluation standards, the security analysis of smart contracts mainly relies on complex and not easily scalable expert rules. To address these issues, we employ slicing techniques to reduce the interference of extraneous code on the detection process, apply normalisation techniques to eliminate the differences between different compiler versions and use particle swarm optimisation algorithms to determine the similarity between contracts, thus improving the accuracy and efficiency of detection. In addition, we combine a variety of features such as static analysis, dynamic analysis and symbolic execution to gain a more comprehensive understanding of contract characteristics and behaviours for more accurate vulnerability identification. Experimental results show that the scheme significantly improves the detection capability and provides a new solution for the security detection of smart contracts.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Graph Embedding Algorithm; Multimodal Feature Fusion; Particle Swarm Optimisation Algorithm; Smart Contracts; Vulnerability Detection

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实验仿真

【DOI】 10.4018/IJSWIS.342850

【Author】 Sakthivel, V Prakash, P. Lee, Jae-Woo Prabu, P.

【Source】KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS

【影响因子】0.972

【主题类别】

区块链应用-实体经济-农牧领域

【Abstract】At present, the world is witnessing a rapid change in all the fields of human civilization business interests and goals of all the sectors are changing very fast. Global changes are taking place quickly in all fields - manufacturing, service, agriculture, and external sectors. There are plenty of hurdles in the emerging technologies in agriculture in the modern days. While adopting such technologies as transparency and trust issues among stakeholders, there arises a pressurized necessity on food suppliers because it has to create sustainable systems not only addressing demand-supply disparities but also ensuring food authenticity. Recent studies have attempted to explore the potential of technologies like blockchain and practices for smart and sustainable agriculture. Besides, this well-researched work investigates how a scientific cum technological blockchain architecture addresses supply chain challenges in Precision Agriculture to take up challenges related to transparency traceability, and security. A robust registration phase, efficient authentication mechanisms, and optimized data management strategies are the key components of the proposed architecture. Through secured key exchange mechanisms and encryption techniques, client's identities are verified with inevitable complexity. The confluence of IoT and blockchain technologies that set up modern farms amplify control within supply chain networks. The practical manifestation of the researchers' novel blockchain architecture that has been executed on the Hyperledger network, exposes a clear validation using corroboration of concept. Through exhaustive experimental analyses that encompass, transaction confirmation time and scalability metrics, the proposed architecture not only demonstrates efficiency but also underscores its usability to meet the demands of contemporary Precision Agriculture systems. However, the scholarly paper based upon a comprehensive overview resolves a solution as a fruitful and impactful contribution to blockchain applications in agriculture supply chains.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Internet of Things; Security; Monitoring; Big data

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实验仿真

【DOI】 10.3837/tiis.2024.07.013

【Author】 Abdullah, Nor Fadzilah Kairaldeen, Ammar Riadh Abu-Samah, Asma Nordin, Rosdiadee

【Source】KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS

【影响因子】0.972

【主题类别】

区块链技术-协同技术-物联网

【Abstract】The integration of blockchain technology with the rapid growth of Internet of Things (IoT) devices has enabled secure and decentralised data exchange. However, security vulnerabilities and performance limitations remain significant challenges in IoT blockchain networks. This work proposes a novel approach that combines transaction representation and machine learning techniques to address these challenges. Various clustering techniques, including kmeans, DBSCAN, Gaussian Mixture Models (GMM), and Hierarchical clustering, were employed to effectively group unlabelled transaction data based on their intrinsic characteristics. Anomaly transaction prediction models based on classifiers were then developed using the labelled data. Performance metrics such as accuracy, precision, recall, and F1-measure were used to identify the minority class representing specious transactions or security threats. The classifiers were also evaluated on their performance using balanced and unbalanced data. Compared to unbalanced data, balanced data resulted in an overall average improvement of approximately 15.85% in accuracy, 88.76% in precision, 60% in recall, and 74.36% in F1-score. This demonstrates the effectiveness of each classifier as a robust classifier with consistently better predictive performance across various evaluation metrics. Moreover, the k-means and GMM clustering techniques outperformed other techniques in identifying security threats, underscoring the importance of appropriate feature selection and clustering methods. The findings have practical implications for reinforcing security and efficiency in real-world IoT blockchain networks, paving the way for future investigations and advancements.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Anomaly prediction; Blockchain; Clustering algorithms; Fraud detection; Internet of Things (IoT); Legitimate transactions; Machine learning; Privacy; Security

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 实验仿真

【DOI】 10.3837/tiis.2024.07.014

【Author】 Philo, K. G. Webber-Youngman, R. C. W.

【Source】JOURNAL OF THE SOUTHERN AFRICAN INSTITUTE OF MINING AND METALLURGY

【影响因子】0.640

【主题类别】

区块链应用-实体经济-采矿领域

【Abstract】Digital information and data are crucial drivers of progress in various industries, including mining, where data-driven decision making optimizes resource extraction, enhances safety, and ensures sustainability. The adoption of digital technologies like artificial intelligence (AI) and the Internet of Things has amplified the importance of digital information. However, the integrity and security of this information are paramount, leading to the exploration of blockchain technology as a potential solution for secure digital value exchange in mining. This research examines blockchain's capabilities, drawing insights from its applications in sectors like banking, government, healthcare, and entertainment, and evaluates their relevance to mining's core value chain processes. The study identifies blockchain's distributed ledger technology, cryptographic security, and decentralization as unique advantages that can revolutionize mining by enhancing transaction speed, reducing costs, and improving supply chain transparency and compliance with sustainability standards. Blockchain's transparent and auditable records can enhance business transparency, fostering trust among stakeholders, including investors and regulatory bodies. The technology's consensus mechanisms and smart contracts further promote trust in collaborative ventures. This research provides a foundational understanding for decision-makers in the mining industry to evaluate blockchain's feasibility and potential return on investment, guiding strategic planning and resource allocation for blockchain applications. By leveraging blockchain, mining companies can optimize operations, improve sustainability practices, and establish a robust foundation for future growth, positioning blockchain as a transformative technology in the sector.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain technology; value driver; capability; digital transformation

【发表时间】2024

【收录时间】2024-08-15

【文献类型】 综述

【DOI】 10.17159/2411-9717/2597/2024