【Author】 Putra, Guntur Dharma Malik, Sidra Dedeoglu, Volkan Jurdak, Raja Kanhere, Salil S.

【Source】COMMUNICATIONS OF THE ACM

【影响因子】14.065

【主题类别】

区块链技术-协同技术-信息系统

【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】2023

【收录时间】2023-08-06

【文献类型】 观点阐述

【DOI】 10.1145/3589648

【Author】 Gramoli, Vincent Tang, Qiang

【Source】COMMUNICATIONS OF THE ACM

【影响因子】14.065

【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】2023

【收录时间】2023-08-06

【文献类型】 观点阐述

【DOI】 10.1145/3589225

【Author】 Bamel, Umesh Talwar, Shalini Pereira, Vijay Corazza, Laura Dhir, Amandeep

【Source】TECHNOVATION

【影响因子】11.373

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】The twin focus on healthcare and digital transformation during the past two decades, which was intensified by the COVID-19 pandemic to an unanticipated level, has resulted in the mushrooming of literature in the area. While this has enriched the available insights, it has also created a certain amount of confusion, and there is now a need to make sense of what has been achieved before undertaking research that contributes more meaningfully to theory and practice in the area. Motivated by this need, we systematically analyze and evaluate the existing empirical research on the topic of disruptive digital innovations in healthcare. We followed a five-step approach to identify and analyze 42 congruent studies spread across domains, publishers, and geographies to achieve our objective. The outcome of our review is a conceptual framework that could serve to motivate and support future research. First, we presented a bibliographic sketch of the literature to clarify the milieu and descriptives. Next, we performed content analysis to organize the existing evidence into meaningful streams. Towards this end, we followed a structured approach to the review by defining the scope through a matrix-form conceptual framework to guide thematic analysis. Accordingly, we reported on the findings from three perspectives-theoretical, enabler, and barrier-anchoring them in four innovation implementations/outcomes: products, services, pro-cesses, and business models. Our analysis suggests that existing scholarship has drawn upon various interdis-ciplinary theories to map the enablers as well as the barriers that may inhibit the adoption and usage of these disruptive innovations. Based on the findings of our structured approach, we offer useful recommendations to advance research and practice in this field.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Disruptive digital innovations; Healthcare; Artificial intelligence; Machine learning; Blockchain; IoT; E -health; M -health; Digital healthcare

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 综述

【DOI】 10.1016/j.technovation.2023.102785

【Author】 Singh, Atul Kumar Kumar, V. R. Prasath Shoaib, Muhammad Adebayo, Towiwa Sunday Irfan, Muhammad

【Source】TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE

【影响因子】10.884

【主题类别】

区块链应用-实体经济-建筑领域

【Abstract】The adoption of blockchain technology in the sustainable construction industry in India is slow. Existing literature in this area has primarily focused on the potential applications of blockchain technology in construction but little attention is given to the barriers, impeding its adoption. This study fills this research gap by identifying the most significant barriers to adopting blockchain technology for India's sustainable construction industry. The collected data were analyzed via a two-stage PLS-SEM-artificial-neural-network (ANN) predictive analytical approach. In total, 722 construction stakeholder surveys were conducted, and the final model of barriers to adopting blockchain technology for sustainable construction was statistically validated. This study's findings suggest that significant organizational, technological, cultural, legal, security and government barriers limit the adoption of blockchain technology for sustainable construction in India. These findings also imply that effective legislative processes and economic incentives are crucial for ensuring blockchain technology integration into sustainable construction and for efficient implementation of practices. As a further step, a roadmap is developed to support decision-makers in overcoming these barriers in the short, medium, and long terms. Finally, multitiered strategies that construction mapping, sustainability, and integration should be adopted to ensure the successful integration of BT into sustainable construction practices in India.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain technology; Sustainable construction; Barriers; Partial least squares structural equation; modeling; Artificial neural networks; India

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实证数据

【DOI】 10.1016/j.techfore.2023.122716

【Author】 Zhao, Pengfei Li, Shuangqi Hu, Paul Jen-Hwa Gu, Chenghong Lu, Shuai Ding, Shixing Cao, Zhidong Xie, Da Xiang, Yue

【Source】IEEE TRANSACTIONS ON SMART GRID

【影响因子】10.275

【主题类别】

区块链应用-实体经济-能源领域

【Abstract】Water resources are vital to the energy conversion process but few efforts have been devoted to the joint optimization problem which is fundamentally critical to the water-energy nexus for small-scale or remote energy systems (e.g., energy hubs). Traditional water and energy trading mechanisms depend on centralized authorities and cannot preserve security and privacy effectively. Also, their transaction process cannot be verified and is subject to easy tampering and frequent exposures to cyberattacks, forgery, and network failures. Toward that end, water-energy hubs (WEHs) offers a promising way to analyse water-energy nexus for greater resource utilization efficiency. We propose a two-stage blockchain-based transactive management method for multiple, interconnected WEHs. Our method considers peer-to-peer (P2P) trading and demand response, and leverages blockchain to create a secure trading environment. It features auditing and resource transaction record management via system aggregators enabled by a consortium blockchain, and entails spatial-temporal distributionally robust optimization (DRO) for renewable generation and load uncertainties. A spatial-temporal ambiguity set is incorporated in DRO to characterize the spatial-temporal dependencies of the uncertainties in distributed renewable generation and load demand. We conduct a simulation-based evaluation that includes robust optimization and the moment-based DRO as benchmarks. The results reveal that our method is consistently more effective than both benchmarks. Key findings include i) our method reduces conservativeness with lower WEH trading and operation costs, and achieves important performance improvements by up to 6.1%; and ii) our method is efficient and requires 18.7% less computational time than the moment-based DRO. Overall, this study contributes to the extant literature by proposing a novel two-stage blockchain-based WEH transaction method, developing a realistic spatial-temporal ambiguity set to effectively hedge against the uncertainties for distributed renewable generation and load demand, and producing empirical evidence suggesting its greater effectiveness and values than several prevalent methods.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; spatial-temporal ambiguity set; two-stage framework; water-energy nexus

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实验仿真

【DOI】 10.1109/TSG.2022.3230693

【Author】 Wang, Mingjun Zhao, Dongsheng Yan, Zheng Wang, Haiguang Li, Tieyan

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链技术-协同技术-5G

【Abstract】Fifth generation (5G) networks are highly heterogeneous, with ultradense base stations (BSs), due to the low penetration of millimeter waves and the availability of different access technologies. However, the continuous heterogeneity and densification of 5G networks pose great challenges to network security, especially for user mobility support. In the process of user handover between BSs or between different network domains, user access authentication and security session establishment are far riskier compared to 4G networks. On the one hand, the overhead of handover authentication increases significantly as handovers become more frequent in an ultradense network. On the other hand, the differentiation of security schemes in heterogeneous networks (HetNets) poses a big challenge to handover authentication. Successfully designing a secure, privacy preserving, and efficient handover authentication protocol for heterogeneous and ultradense 5G networks would substantially expand the prospects of future 5G network applications. Although numerous solutions (e.g., challenge-response-based, public key cryptography-based, physical-layer information-based, and blockchain-based solutions) have been proposed to solve the cross-domain handover authentication problem, most of them surfer from security and privacy vulnerabilities and unreasonable performance overhead. In this article, we propose XAuth, a secure and privacy-preserving authentication protocol for both intradomain and interdomain handover in 5G HetNets based on blockchain. The proposed protocol can achieve mutual authentication, key agreement between user equipment (UE) and target network, and is characterized by forward secrecy, backward secrecy, user anonymity, and conditional privacy preservation. Formal security analysis and comprehensive performance evaluation demonstrate the security and effectiveness of the proposed protocol.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Handover; Authentication; Security; Protocols; 5G mobile communication; Blockchains; Privacy; Authentication and key agreement; fifth generation (5G) heterogeneous networks (HetNets); handover; privacy preservation

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实验仿真

【DOI】 10.1109/JIOT.2022.3223223

【Author】 Wang, Chao Jiang, Chunxiao Wang, Jingjing Shen, Shigen Guo, Song Zhang, Peiying

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链技术-协同技术-物联网

【Abstract】The proliferation of users and data traffic poses substantial pressure on resource management in the Internet of Things (IoT). In addition to beneficially allocating scarce network resources, it also needs to meet differentiated users' Quality-of-Service (QoS) requirements, such as low delay, high security, etc. The distributed management architecture of blockchain and its inherent security features bring inspiration to resource management in the IoT. In this article, we propose a blockchain-enabled resource orchestration scheme for IoT by deep reinforcement learning (DRL), where the IoT edge server and the end user can reach a consensus on the allocation of network resources based on blockchain theory. Moreover, relying on the policy network, the intelligent agent can be trained by these resource attributes to fully perceive the change of the network's state and hence make dynamic resource allocation decisions. Finally, simulation results show that the proposed resource orchestration scheme has good performance in comparison to other security resource allocation algorithms. The average revenue, the user request acceptance rate, and the profitability are increased by an average of 8.5%, 1.8%, and 11.9%, respectively, compared with other algorithms.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Resource management; Blockchains; Security; Servers; Internet of Things; Delays; Edge computing; Blockchain; deep reinforcement learning (DRL); Internet of Things (IoT); resource allocation

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实验仿真

【DOI】 10.1109/JIOT.2022.3222911

【Author】 Tekchandani, Prakash Pradhan, Indranil Das, Ashok Kumar Kumar, Neeraj Park, Youngho

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链技术-协同技术-人工智能

【Abstract】Smart devices in an Internet of Things (IoT) generate a massive amount of big data through sensors. The data is used to build intelligent applications through machine learning (ML). To build these applications, the data is collected from devices into data centers for training ML models. Usually, the training of models is performed on central server, but this approach requires the transfer of data from devices to central server. This centralized training approach is not efficient because the users are much less likely to share data to the centralized data centers due to privacy issues and bandwidth limitations. To mitigate these issues, we propose an efficient hybrid secure federated learning approach with the blockchain to securely train the model locally on devices and then to store the model and its parameters into the blockchain for traceability and immutability. A detailed security and performance analysis is presented to show the efficacy of the proposed approach in terms of security, resilience against many security attacks, and cost effectiveness in computation and communication as compared to other existing competing schemes.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Authentication; big data analytics; blockchain; Internet of Things (IoT); key agreement; security

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 综述

【DOI】 10.1109/JIOT.2022.3227162

【Author】 Sai, Siva Chamola, Vinay Choo, Kim-Kwang Raymond Sikdar, Biplab Rodrigues, Joel J. P. C.

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链技术-协同技术-人工智能

【Abstract】Blockchain (BC) and artificial intelligence (AI) technologies have independent applications in multiple industries, including banking, finance, healthcare, construction, transportation, hospitality, manufacturing, and insurance, to name a few. Moreover, these two technologies can be integrated seamlessly, thanks to their complementary and mutually supportive features. AI algorithms can make the medical BC storage efficient by their processing algorithms, also playing the role of knowledgeable gatekeepers. BC can support AI models by providing secure, sizeable, traceable, diverse, and immutable healthcare data for the training purpose. The integration of BC and AI has multiple use cases in the healthcare industry ranging from disease prediction to pandemic management. Previously, researchers have reviewed the applications of each of these technologies in healthcare independently. Although the integration of BC and AI has been fruitful, to the best of our knowledge, there has been no work in the past reviewing the confluence of these two technologies in the healthcare sector. We have classified the works based on two different classification schemes: 1) application-based and 2) AI-training paradigm-based classification. We have also provided a compilation of tools used in the integrated systems of BC and AI for healthcare. We identified that the integration of BC and AI technologies had been applied in quite different areas of healthcare ranging from biomedical research to pandemic management. It is also noted that the supervised learning algorithms and federated learning paradigm for secure decentralized AI model training are often used in the integration. Our findings reveal that majority of the reviewed works use BC as a secure database for AI models. Furthermore, we also have pointed out the potential applications of these two technologies in healthcare.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Artificial intelligence; Medical services; Blockchains; Data models; Biological system modeling; Training; Medical diagnostic imaging; Blockchain (BC); healthcare; machine learning (ML)

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 综述

【DOI】 10.1109/JIOT.2022.3232793

【Author】 Rani, Shalli Babbar, Himanshi Srivastava, Gautam Gadekallu, Thippa Reddy Dhiman, Gaurav

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链技术-协同技术-软件定义网络SDN

【Abstract】Presently, trillions of Internet of Things (IoT) devices are in use, with many more projected to join IoT networks in the future. These IoT devices create a massive volume of data, which cannot be transmitted over the network without proper security and privacy. Furthermore, as the amount of information and variety of interconnected devices grows, problems, including excessive response time, bandwidth constraints, and scalability, emerge in proper network design. To solve the constraints of today's smart cities for next-generation networks, an effective, secure, and scalable distributed framework must be designed bringing computing and storage resources nearer to endpoints. In this article, combining the strengths of software-defined networks (SDNs) and blockchain technology, an innovative adaptable network infrastructure for smart cities is developed. The network is divided into different domains in which SDN will detect potential attacks and transmit the secured data to the blockchain. Our in-depth experimental analysis on performance evaluation show that the proposed framework achieves 12.75% improvement over baseline methodologies.

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); security; smart cities; software-defined networks (SDNs)

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 理论模型

【DOI】 10.1109/JIOT.2022.3223576

【Author】 Noh, Jaewon Kwon, Yongseok Son, Junggab Cho, Sunghyun

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链应用-实体经济-身份验证

【Abstract】One significant security challenge in vehicular networks is defending against malicious members' attacks, including insiders and compromised authorities. Insiders are legitimate vehicles who have passed the registration process. Since they can exploit all the information related to the network and other members' communication, it is easier to perform various attacks with a high impact. In addition, an authority takes charge of registering and managing legitimate vehicles. Thus, if the authority is compromised, it will cause significant damage to the system, including the leaking of private information, such as identity, location, and membership. Many authentication schemes have been proposed to protect vehicular communication from these security issues. However, most existing schemes still face the vulnerability of malicious members. Furthermore, most conventional schemes require additional interactions between the vehicles and infrastructure for authentication, which can cause communication overheads. To overcome these issues, we propose a novel blockchain-based one-time authentication scheme to protect vehicular communication against malicious members. One-time authentication provides higher security and efficiency as every message is authenticated with different proof at a time. We use publicly verifiable secret sharing with blockchain for this property, which brings two benefits. First, it prevents even an authority from obtaining members' identities by distributing encrypted shares instead of their real identities. Second, it enables robust vehicular communication against insiders' attacks by allowing a vehicle to send unique proof generated from its private information with messages. Receivers can authenticate the messages by comparing attached values to the information through the blockchain in a noninteractive manner. Security analysis shows that our scheme assures secure vehicle-to-everything communication against insider attacks, and efficiency analysis shows how both authentication and consensus delay change.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Authentication; Blockchains; Vehicle-to-everything; Security; Privacy; Receivers; Internet of Things; Secure communications; security and privacy; vehicular networks

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实验仿真

【DOI】 10.1109/JIOT.2022.3224465

【Author】 Liu, Yijia Wang, Jie Yan, Zheng Wan, Zhiguo Jantti, Riku

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链技术-协同技术-物联网

【Abstract】Internet of Things (IoT) aims to create a vast network with billions of things that can seamlessly create and exchange data, establishing intelligent interactions between people and objects around them. It is characterized with openness, heterogeneity, and dynamicity, which inevitably introduce severe security, privacy, and trust issues that hinder the widespread application of IoT. Trust management (TM) holds great promise in identifying malicious nodes, maintaining trust relationships, and enhancing system security. Traditional TM systems (TMSs) can be classified into centralized, semi-centralized, and distributed ones, all three of which suffer from critical challenges and thus are not sufficient for facilitating IoT development. Blockchain, as a disruptive technology, can help addressing the challenges of TM in IoT, thanks to its advanced features, such as decentralization, consistency, and tamper-proofing. As a result, blockchain-based TM (BC-TM) has been extensively studied in recent years to achieve decentralized TM in IoT. However, it still lacks a comprehensive survey on the current state of the arts. To fill this gap, in this article, we conduct a serious survey on BC-TM in IoT. We first propose a set of evaluation criteria that should be met by a TMS in IoT. Then, we propose a taxonomy of TMSs and continue with a thorough review on BC-TM in IoT by employing the proposed criteria. In the end, based on the review, a series of open issues are identified, and future research directions are suggested.

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); privacy; security; trust management (TM)

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 综述

【DOI】 10.1109/JIOT.2023.3237893

【Author】 Li, Nannan Gu, Zhenjing Albasher, Gadah Alsultan, Nouf Fatemah, Ambreen

【Source】RESOURCES POLICY

【影响因子】8.222

【主题类别】

区块链应用-实体经济-自然资源

【Abstract】In recent years, with a rise in climate change, the notion of sustainable development and resource productivity has received a lot of attention around the world. Meanwhile, advances in artificial intelligence based financial management and the creation of new blockchains or cryptocurrencies have transformed the day-to-day operations of economic actors. The aim of the present study is to investigate the impact of financial management and blockchains on environmental sustainability and resource productivity. The monthly time series data of the United States of America economy data is used covering the period from 2000M01-2022M09. Firstly, the stationary variable is tested using the Augmented Dickey-Fuller and Phillips-Perron tests. The findings reveal that all the variables follow I(1). The long-term estimations are investigated through the Fully Modified Ordinary Least Squares. The findings reveal that artificial intelligence-based financial management helps to improve environmental sustainability and resource productivity by reducing carbon emissions and increasing combustible and renewable waste, metals, and non-metallic minerals resources in the long run. In addition, blockchain technology appears to be a booster for environmental unsustainability while also reducing metallic resources. These findings are particularly important and critical since they indicate the path to achieving Sustainable Development Goals. Overall, the findings imply that the United States of America authorities should continue to push AI-based sustainability models and move to green blockchains in order to mitigate the negative environmental effects of blockchains.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Financial management; Blockchain; Artificial intelligence; Cryptocurrency; Bitcoin; Natural resources

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实证数据

【DOI】 10.1016/j.resourpol.2023.103730

【Author】 Medina, Jorge Rojas-Cessa, Roberto Dong, Ziqian Umpaichitra, Vatcharapan

【Source】COMPUTERS IN BIOLOGY AND MEDICINE

【影响因子】6.698

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Blockchain has been recently proposed to securely record vaccinations against COVID-19 and manage their verification. However, existing solutions may not fully meet the requirements of a global vaccination manage-ment system. These requirements include the scalability required to support a global vaccination campaign, like one against COVID-19, and the capability to facilitate the interoperation between the independent health administrations of different countries. Moreover, access to global statistics can help to control securing community health and provide continuity of care for individuals during a pandemic. In this paper, we propose GEOS, a blockchain-based vaccination management system designed to address the challenges faced by the global vaccination campaign against COVID-19. GEOS offers interoperability between vaccination information systems at both domestic and international levels, supporting high vaccination rates and extensive coverage for the global population. To provide those features, GEOS uses a two-layer blockchain architecture, a simplified byzantine-tolerant consensus algorithm, and the Boneh-Lynn-Shacham signature scheme. We analyze the scalability of GEOS by examining transaction rate and confirmation times, considering factors such as the number of validators, communication overhead, and block size within the blockchain network. Our findings demonstrate the effectiveness of GEOS in managing COVID-19 vaccination records and statistical data for 236 countries, encompassing crucial information such as daily vaccination rates for highly populous nations and the global vaccination demand, as identified by the World Health Organization.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】COVID-19; Blockchain; Block commitment time; Electronic vaccination records; Healthcare blockchain; Global vaccination; Peer-to-peer networks; High transaction throughput; Two-layered blockchain

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实验仿真

【DOI】 10.1016/j.compbiomed.2023.107074

【Author】 Naoum-Sawaya, Joe Elhedhli, Samir De Carvalho, Paulo

【Source】EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

【影响因子】6.363

【主题类别】

区块链治理-市场治理-技术采用

【Abstract】Counterfeiting is an ever growing problem worldwide which is exacerbated by the ease of access through e-commerce and online shopping. This calls for innovative technologies, such as blockchain, to identify, track, and prevent fake products from reaching consumers, especially for vital sectors such as the drug industry, which is the main motivation for this work. We investigate the strategic implications of using blockchain technology to deter counterfeiters. We particularly focus on the case of deceptive counterfeits that infiltrate legitimate distribution channels. Deceptive counterfeits lack the quality of genuine products and may pose immense health and safety risks to consumers who are unable to distinguish them from genuine products at the time of purchase. In contrast to prior literature that assumes that blockchain eliminates deceptive counterfeiting, we present a model that realistically considers blockchain as a technology that increases the capability of detecting counterfeits. This capability nonetheless comes at an increasing cost that may financially discourage genuine manufacturers from adopting the technology. The presented model shows that blockchain is not always financially beneficial and demonstrates that manufacturers can strategically balance between product quality and investment in blockchain to combat counterfeiting. Furthermore, our results demonstrate that, with the availability of blockchain, genuine manufacturers may be less interested to differentiate products based on quality, but rather rely on blockchain to block counterfeits.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Distribution; Supply chain; Blockchain; Deceptive counterfeiting; Game theory

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实证数据

【DOI】 10.1016/j.ejor.2023.04.031

【Author】 Wang, Yingsen Yuan, Leiming Jiao, Weihan Qiang, Yan Zhao, Juanjuan Yang, Qianqian Li, Keqin

【Source】IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

【影响因子】6.239

【主题类别】

区块链应用-实体经济-能源领域

【Abstract】The organization and management of electricity markets worldwide are rapidly evolving, moving towards decentralized, distributed, and renewable energy-based generation with solutions based on real-time data exchange. A Vehicle-to-Vehicle (V2V) energy trading has emerged as one of the most promising alternatives for relieving the load imposed on the traditional grid enabling two individuals to buy and sell energy directly without intermediaries. However, the Internet of Electric Vehicles (IoEV) environment is trustless, and such P2P energy trading is prone to different kinds of cyber attacks. Blockchain technology has lately been proposed to implement V2V energy trading to securely and fairly share energy. The consensus mechanism is one of the most important modules of blockchain applied to the V2V network. It determines the efficiency and security among untrustworthy EVs of the energy trading blockchain (ETB). Nevertheless, most works on ETB have currently adopted traditional consensus mechanisms. Due to high computing power and communication overhead, these consensus algorithms are unsuitable for applications requiring real-time services such as energy trading. The efficient and secured Hashgraph is the revolutionary technology of consensus in blockchain and a promising technology suitable for V2V energy trading with frequent transactions. However, Hashgraph does not support the dynamic addition and deletion of nodes and is completely decentralized and vulnerable to Sybil Attack in a large-scale blockchain. Furthermore, this "complete decentralization" model may result in states losing the ability to macro-control the energy industry and even systemic energy security issues. Therefore, we propose a Block Alliance Consensus (BAC) mechanism to solve these problems. BAC can maintain the throughput of Hashgraph and resist Sybil Attack in a large-scale P2P energy trading network. We design a cryptography-based leader election mechanism and adopt a reputation incentive mechanism to motivate honest and cooperative electric vehicles (EVs). Finally, we implement ETB and the BAC consensus mechanism on the Hyperledger Fabric platform. The high efficiency and security of BAC and the blockchain-based V2V energy trading platform are verified through experiments.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; consensus; electric vehicles; energy trading; Hashgraph; Hyperledger Fabric; Internet of Electric Vehicles; Vehicle-to-Vehicle

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实验仿真

【DOI】 10.1109/TVT.2023.3239990

【Author】 Ameyaw, Prince Donkor de Vries, Walter Timo

【Source】LAND USE POLICY

【影响因子】6.189

【主题类别】

区块链应用-实体经济-土地管理

【Abstract】The adoption of efficient technologies in support of land administration services is still a challenge in Ghana. Data on land ownership, use, and value in Ghana remain fragmented, and technological systems enabling in-formation services automation, and accessibility to reliable land information remain inefficient. This continues to cause societal problems like; double sales of land, unauthorized changes to land documents, corruption, and bribery. In this study, we argue that the absence of a context-focused guide for technology adaptation is a major factor for failures in previous technology adoption attempts in Ghana's land sector. We evaluate how a past technology (GELIS) adoption at Accra Lands Commission in Ghana was executed and why it led to unrealized expectations. We relied on elicited expert views followed by content analysis, and validated against a meta-synthesis qualitative review methodology of secondary data. We then extrapolated these results to possible outcomes and trajectories for the adaptation of a new technology like blockchain. Based on blockchain's interdependent feature, Ghana's contextual land issues, and the GELIS adoption experience, we develop sug-gestions covering an extended TOE framework to include socio-cultural elements as a guide for blockchain technology adaptation in Ghana, and other developing land administration systems with similar land issues as Ghana. Policy implications underlining these suggestions are highlighted.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Land administration; TOE framework; Blockchain technology adaptation; GELIS; Ghana

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实证数据

【DOI】 10.1016/j.landusepol.2022.106485

【Author】 Sedrati, Anass Mezrioui, Abdellatif Ouaddah, Aafaf

【Source】COMPUTER NETWORKS CCF-B

【影响因子】5.493

【主题类别】

区块链技术-协同技术-物联网

【Abstract】The rise of artificial intelligence and smart devices with decision-making capabilities has highlighted the critical need for governance in the field of IoT. Effective governance can ensure accountability, reliability, security, and privacy in the development and use of these technologies, as well as safeguard against unethical or malicious activities. Moreover, it can drive innovation and growth in the IoT and AI industries, while fostering public trust in these technologies. The objective of this paper is to propose a new governance framework for IoT, called IoTGov. To achieve this objective, the paper first defines the requirements for IoT governance and assesses the compatibility of existing IT and IoT governance frameworks with these requirements. The limitations of current frameworks prove the need for a new framework, and IoT-Gov is presented as a solution. The paper explains the layers and processes of the proposed framework and provides a high-level simulation of its deployment. Specifically, the paper illustrates how the proposed framework can be applied in an example scenario of access control in a smart hospital parking, enabled with Blockchain technology. Finally, the paper concludes with an exploration of potential challenges and future research directions for the framework.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Internet of Things; Governance; Simulation; Access control; Framework; Blockchain

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 理论模型

【DOI】 10.1016/j.comnet.2023.109902

【Author】 Zhang, Jun Zhou, Jiaxin Gu, Zhenghui Zhang, Zhi Wang, Luhua Yu, Zhu Liang Li, Yuanqing

【Source】IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

【影响因子】5.332

【主题类别】

区块链应用-实体经济-数据管理

【Abstract】Energy consumption and security are two major challenges faced by telemedicine systems. Due to the simplicity and the randomness in information acquisition process, compressive sensing (CS) has a vast prospect in dealing with these two problems. Recently, a chained CS (CCS) scheme has been proposed, which can implement a secure and low-energy consumption data transmission. However, due to its chain computation and the lossy compression nature of CS, there exists an accumulative error in the existing CCS scheme. Moreover, block-based CS decoding also leads to significant performance deterioration. In this article, a new chained secure and low-energy consumption data transmission (CS-LeCT) scheme has been proposed, whose reconstruction performance is far superior to the CCS. First, to overcome the accumulative error of the CCS scheme, square matrices instead of underdetermined matrices were used to encode the signal so that in the proposed CS-LeCT, the decoding process can be carried out by adopting a lossless inverse operation. Second, inspired by the structurally random matrix (SRM), an active packet drop strategy was designed to achieve low-energy consumption data transmission, whose decoding can be implemented by means of the SRM-based CS reconstruction. The performance gain of the CS-LeCT has not only been validated through simulation experiments but has also been analyzed theoretically. Safety analysis also shows that the proposed CS-LeCT can resist several potential attacks, such as ciphertext-only attacks (COAs), known-plaintext attacks (KPAs), and man-in-the-middle attacks (MiTMs).

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; compressive sensing (CS); data security; structurally random matrix (SRM); telemedicine

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实验仿真

【DOI】 10.1109/TIM.2023.3280495

【Author】 Vishwakarma, Santosh Goswami, Rajat Subhra Nayudu, P. Prathap Sekhar, Krovi Raja Arnepalli, Pandu Ranga Rao Thatikonda, Ramya Abdel-Rehim, Wael M. F.

【Source】SOFT COMPUTING CCF-C

【影响因子】3.732

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】There have been many developments in recent years based on the Internet of Things (IoT), particularly for managing data pertaining to healthcare as it is now known as the Internet of Health Things (IoHT). As those healthcare data ensure improved accuracy, security with enhanced integrity, and better quality data, some these data must be provisioned to such smart healthcare, which is a time-consuming problem in this organization. To improve data provisioning, data must be more secure and privacy protected, as enabled by federated learning and privacy policies. If the data is private, it is possible to learn about it with the owner's consent. With recent advancements, data process flow related to IoHT is associated with various IoT devices as edge nodes. As there is a problem with a partial level of trained nodes, learning at the nodes is much more difficult as it requires a fully decentralized environment, improved and trained datasets, data provisioning, and security. In this paper, a Hy-FL-based Blockchain approach is suggested because it can manage trust and trained data based on federated learning with better authentication thanks to blockchain technology. This proposed approach enables the encryption of trained data on federated nodes and aggregated data. In the analysis, IoHT-based data manageability is handled safely in terms of energy use, data accuracy, predicated value, etc.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Federated learning; Data privacy; Security; Authorization; Internet of medical things

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实验仿真

【DOI】 10.1007/s00500-023-08629-4

【Author】 Malik, Varun Mittal, Ruchi Mavaluru, Dinesh Narapureddy, Bayapa Reddy Goyal, S. B. Martin, R. John Srinivasan, Karthik Mittal, Amit

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链技术-协同技术-深度学习

【Abstract】A secured platform is a critical component of digital governance, as it helps to ensure the privacy, security, and reliability of the electronic platforms and systems used to manage and deliver public services. Interoperability and data exchange are essential for digital governance, as they enable different government agencies and departments to share data, information, and resources seamlessly, regardless of the platforms and technologies they use. In this paper, we build a secure platform to enhance the trustworthiness of digital governance interoperability and data exchange using blockchain and deep learning-based frameworks. Initially, an optimal blockchain leveraging approach is designed using the bonobo optimization algorithm to authenticate data generated from smart city environments. Furthermore, we introduce the integration of a lightweight Feistel structure with optimal operations to enhance privacy preservation. This integration provides two levels of security and ensures interoperability and double-secured data exchange in digital governance systems. In addition, we utilize a deep reinforcement learning (DRL) model to detect and prevent intrusions such as fraud/corruption in the smart city data. This approach enhances transparency and accountability in accessing the data and shows its predominance over other cutting-edge techniques on two benchmark datasets, BoT-IoT and ToN-IoT. Furthermore, the effectiveness of the framework in real-time scenarios has been demonstrated through two case studies. Overall, our proposed framework provides a trustworthy platform for digital governance, interoperability, and data exchange, addressing the challenges of privacy, security, and reliability in managing and delivering public services.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; data exchange; deep reinforcement learning; digital governance; interoperability; Internet of Things; voting system; waste management; cybersecurity

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实验仿真

【DOI】 10.1109/ACCESS.2023.3293529

【Author】 Lee, Annabelle Gourisetti, Sri Nikhil Gupta Sebastian-Cardenas, David Jonathan Lambert, Kent Navarro, Vicente Pasetti, Marco Cali, Umit Isirova, Kateryna Reddi, Ramesh Nitu, Puica Touhiduzzaman, Md. Mylrea, Michael Huff, Philip Rahimi, Farrokh Saha, Shammya Shananda

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链应用-实体经济-能源领域

【Abstract】In recent times, Distributed Ledger Technology (DLT) has gained significant attention for its potential application in the energy sector. Utilizing blockchain and DLT has demonstrated the ability to enhance the resilience of the electric infrastructure, which will support a more flexible infrastructure and advance grid modernization. However, the deployment of these technologies increases the overall attack surface. The MITRE ATT & CK (R) matrices have been developed to document an adversary's tactics and techniques based on real-world observations. The MITRE ATT & CK (R) matrices provide a common taxonomy for offense and defense and have become a valuable conceptual tool across multiple cybersecurity disciplines for conveying threat intelligence, performing testing through red teaming or adversary emulation, and enhancing network and system defenses against intrusions. The MITRE ATT & CK (R) for Industrial Control Systems (ICS) matrix was created to provide knowledge about adversary behavior in the ICS technology domain. This study analyzes the relevance of various tactics and techniques across a seven-layer DLT engineering and cybersecurity stack, known as the DLT stack, designed by the Cybersecurity Taskforce under IEEE P2418.5 - Standard for Blockchain in Energy working group sponsored by Power and Energy Systems - Smart Buildings, Loads and Customer Systems (PES/SBLC) Technical Committee. Additionally, this paper identifies specific mitigation strategies tailored to the energy ICS environment.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Distributed ledger; Resilience; Integrated circuits; Computer security; Risk management; Databases; Cyberattack; Cybersecurity; distributed ledger technology; INDEX TERMS; MITRE ICS ATT & CK & REG;; power systems; resiliency

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实证数据

【DOI】 10.1109/ACCESS.2023.3288428

【Author】 Liu, Zewei Hu, Chunqiang Wang, Baolin Chen, Jiajun Deng, Shaojiang Yu, Jiguo

【Source】IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS

【影响因子】2.565

【主题类别】

区块链应用-实体经济-能源领域

【Abstract】With the widespread application of real-time embedded systems (ESs), the contradiction between the energy consumption requirements of modern processors and the limited battery capacity becomes more obvious. Dynamic voltage scaling (DVS) has been proven to be one of the most effective technologies for energy management. However, recent studies have shown that the use of DVS leads to a significant increase in the transient fault rate of processors as the characteristic size of logic gates (or transistors) gets smaller and smaller. In this article, we consider the problem of assigning processing frequencies to a group of periodic real-time tasks so as to minimize the overall energy consumption under the constraints of time and reliability. First, under the DVS, we take the reliability of the ESs into consideration through the regularization terms and present the energy consumption optimization model based on the metaheuristic algorithms. Second, a novel algorithm for adaptive differential whale swarm optimization (ADWOA) is proposed according to the optimization requirements. Finally, the optimized data are saved on the chain through the storable feature of the blockchain for the necessary queries. It is worth noting that the on-chain data contains the intrinsic characteristics of the ES, which may give rise to the disclosure of processor privacy. Therefore, we come up with the differential privacy on-chain creating algorithm (DPCA) to protect the privacy of data on the chain. Experimental results show that ADWOA can minimize the energy consumption in real-time ES on the premise of ensuring system reliability and privacy.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Index Terms-Blockchain; dynamic voltage scaling (DVS); metaheuristic; real-time embedded system (ES); reliability

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实验仿真

【DOI】 10.1109/TCAD.2022.3215690

【Author】 Conforti, Pietro Manganelli Emanuele, Matteo Nardelli, Pietro Santucci, Giuseppe Angelini, Marco

【Source】COMPUTERS & GRAPHICS-UK

【影响因子】1.821

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】Cryptocurrencies are a novel phenomenon in the finance world that is gaining more attention from the general public, banks, investors, and academic research lately. A characteristic of cryptocurrencies is to be the target of investments that, due to the volatility of most of the cryptocurrencies, tends to be at high risk and behave very differently from traditional currencies. A way of reducing this risk is to look at the history of existing cryptocurrencies and compare them to spot promising trends for increased gain. This paper introduces CryptoComparator, a Visual Analytics tool designed to analyze the correlations and trends of cryptocurrencies. The system exploits an initial proposal for a double elliptic graph layout, reconfigurable with three different ordering functions, to support a fast visual search of cryptocurrencies by correlation strength. Two use cases developed with a domain expert in cryptocurrency financial activities demonstrate qualitatively the support it provides for analyzing cryptocurrencies.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cryptocurrencies; Visual Analytics; Bitcoin

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实验仿真

【DOI】 10.1016/j.cag.2023.05.008

【Author】 Irresberger, Felix Yang, Ruomei

【Source】ECONOMICS LETTERS

【影响因子】1.469

【主题类别】

区块链技术-核心技术-共识机制

【Abstract】This paper studies the concentration of block production in selected Proof-of-Stake (PoS) blockchains and finds evidence consistent with participants entering and leaving the consensus process, thereby changing the concentration level, but not with disproportionate compounding of wealth for large stakes.& COPY; 2023 The Author(s). Published by Elsevier B.V. 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】Blockchain; Proof-of-stake; Consensus; Decentralization

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 观点阐述

【DOI】 10.1016/j.econlet.2023.111219

【Author】 Chen, Pi-Yun Cheng, Yu-Cheng Pai, Neng-Sheng Chiang, Yi-Hsuan

【Source】SENSORS AND MATERIALS

【影响因子】0.879

【主题类别】

区块链应用-实体经济-电商领域

【Abstract】In this study, we utilize blockchain to design an information transmission system for unmanned stores. It is aimed to create a network for exchanging information that does not rely on a third party, a so-called decentralized system. To achieve it, a peer-to-peer (P2P) network replaces the master-slave architecture and uses asymmetric encryption to identify the system users. To authenticate the identities of the stores' customers, we use the face recognition network FaceNet developed by Google. FaceNet has several advantages that make it suitable for performing identity authentication in an unmanned store, including its high accuracy and convenience. A database of face images is required to perform facial recognition, but to address privacy concerns, every pixel in all images in the database is encrypted using the RivestSharmir-Adleman (RSA) algorithm. The system proposed in this paper has three identity endpoints: the host end, the recognition end, and the client end. Messages are transmitted through a P2P network, and a directed acyclic graph is used to achieve message broadcasting while avoiding infinite loops when sending and receiving messages. A sidechain is used to change the structure and consensus mechanism of a traditional blockchain so that they can apply to more scenarios, thereby increasing scalability. The simulation results are displayed via the user interface.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; sidechain; scalability; image recognition; FaceNet; encryption; decryption

【发表时间】2023

【收录时间】2023-08-06

【文献类型】 实验仿真

【DOI】 10.18494/SAM4289