【Author】 Li, Bohan Liang, Ruochen Zhou, Wei Yin, Hailian Gao, Han Cai, Ken

【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-隐私计算

【Abstract】In Internet of Vehicles (IoV), the vehicle ad hoc network (VANET) provides the location-based service (LBS) when vehicles communicate with the dynamic environment. As an integration of satellite systems and terrestrial communications, the space-air-ground integrated network (SAGIN) provides a reliable and efficient way for LBS. But the privacy protection in SAGIN cannot meet LBS security requirements well, so we present a blockchain-based LBS security preserving trust model. K-anonymous location privacy protection algorithm is used to hide users' real position so that users can avoid personal privacy disclosure when requesting LBSs. We propose a trust management algorithm which can detect the malicious behaviors when constructing anonymous regions and clear the malicious users out of the system. Besides, we use blockchain to implement the transparency and conditional anonymity of the system. Missive experiments indicate that our scheme is feasible and outperforms part of state-of-the-art privacy protection approaches.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain-based trust model; location-based service (LBS); privacy security; space-air-ground integrated network (SAGIN); vehicle ad hoc network (VANET)

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 实证性文章

【DOI】 10.1109/JIOT.2021.3064357

【Author】 Firouzi, Farshad Farahani, Bahar Barzegari, Mojtaba Daneshmand, Mahmoud

【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-医疗领域

【Abstract】As the trajectory of the Internet of Things (IoT) moving at a rapid pace and with the rapid worldwide development and public embracement of wearable sensors, these days, most companies and organizations are awash in massive amounts of data. Determining how to profit from data deluge can give companies an edge in the market because data have the potential to add tremendous value to many aspects of a business. The market has already seen a level of monetization across vertical domains in the form of layering connected devices with a variety of Software-as-a-Service (SaaS) choices, such as subscription plans or smart device insights. Out of this arena is evolving a "machine economy" in which the ability to correctly monetize data rather than simply hoard it, will provide a significant advantage in a competitive digital environment. The recent advent of the technological advances in the fields of big data, analytics, and artificial intelligence (AI) has opened new avenues of competition, where data are utilized strategically and treated as a continuously changing asset able to unleash new revenue opportunities for monetization. Such growth has made room for an onslaught of new tools, architectures, business models, platforms, and marketplaces that enable organizations to successfully monetize data. In fact, emerging business models are striving to alter the power balance between users and companies that harvest information. Start-ups and organizations are offering to sell user data to data analytics companies and other businesses. Monetizing data goes beyond just selling data. It is also possible to include steps that add value to data. Generally, organizations can monetize data by: 1) utilizing it to make better business decisions or improve processes; 2) surrounding flagship services or products with data; or 3) selling information to current or new markets. This article will address all important aspects of IoT data monetization with more focus on the healthcare industry and discuss the corresponding challenges, such as data management, scalability, regulations, interoperability, security, and privacy. In addition, it presents a holistic reference architecture for the healthcare data economy with an in-depth case study on the detection and prediction of cardiac anomalies using multiparty computation (MPC) and privacy-preserving machine learning (PPML) techniques.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Internet of Things; Companies; Data privacy; Hospitals; Artificial intelligence (AI); big data; blockchain; eHealth; healthcare; Internet of Things (IoT)

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 实证性文章

【DOI】 10.1109/JIOT.2020.3027971

【Author】 Zhu, Li Liang, Hao Wang, Hongwei Ning, Bin Tang, Tao

【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-交通领域

【Abstract】The communication-based train control (CBTC) system ensures the high efficiency and orderliness of trains and is widely used in urban rail transit networks. The adoption of wireless communication and network techniques makes the CBTC systems more vulnerable to cyber attacks. Identity authentication is an effective approach to improve system security. The existing identity authentication mechanisms in CBTC adopt a centralized key management system sensitive to single-point failures. To improve system security, in this article, we deploy a blockchain in CBTC systems. The client that runs the blockchain program not only acts as blockchain nodes to provide distributed key management for the CBTC system but they also work as a relay node to authenticate the communication between train control nodes in CBTC systems. Based on the blockchain-empowered distributed security scheme, the block producer selection and onboard blockchain client handoff decision problem are studied. With the objective to minimize the impact of the key updating process on CBTC system performance and keep the system security under a reasonable level, we formulate the block producer selection and onboard blockchain client handoff decision problem using the deep reinforcement learning approach. Extensive simulation results illustrate that the proposed blockchain-empowered security scheme can significantly improve the CBTC system security, and CBTC systems need to sacrifice part performance to ensure system security.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Security; Public key; Internet of Things; Protocols; System performance; Authentication; Blockchain; communication-based train control (CBTC); deep reinforcement learning; security

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 实证性文章

【DOI】 10.1109/JIOT.2021.3097156

【Author】 Schwab, Rafael Krebs, Isabelle Bachmann, Philipp

【Source】DIGITAL JOURNALISM

【影响因子】6.847

【主题类别】

区块链应用-实体经济-文化领域

【Abstract】Due to digitization, traditional media brands are facing hypercompetition. For one thing, media outlets offering journalistic content no longer compete just with each other but also with all sorts of content from various sources, such as corporate publishers. This particularly applies to the information space provided by Google and other search engines. This leads to the question of how traditional media brands prevail in this information space: do traditional media brands have a competitive advantage because users perceive their journalistic content as more valuable in terms of credibility and reputation? Accordingly, this study investigates competition and user selection on Google. Drawing on a representative, experimental selection study of the German-speaking Swiss population (N = 1,100), search engine selection behavior was investigated. Results show that selection preferences do not differ between traditional media brands and other competitors, such as corporate publishers. This poses a major challenge for media brands. However, credibility and reputation significantly influence selection preferences. Thus, media managers should focus on effective branding activities in order to maintain a strong position in the digital information market.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Media markets; competition; media brands; user selection; competitive information space; blockchain

【发表时间】

【收录时间】2022-07-27

【文献类型】 实证性文章

【DOI】 10.1080/21670811.2022.2076138

【Author】 Gobezie, Tegbaru B. Biswas, Asim

【Source】PRECISION AGRICULTURE

【影响因子】5.767

【主题类别】

区块链应用-实体经济-农牧领域

【Abstract】In the era of digital agriculture, Precision agriculture (PA) data sources are diverse in terms of the range of technology options and the type of data they generate. Government institutions, scientists, and the private sectors generate much of the PA data at the innovation, validation, and dissemination phases. At scale-up phases, farmers also generate tremendous amounts of data that might have privacy and ownership concerns. There remains the possibility of a better way to integrate PA data continent-wide in Africa. Data privacy and ownership issues must be addressed while still maintaining the integration of PA data at scale. The objective of this paper is to review the major challenges of PA data harmonization in Africa and discuss the existing opportunities in relation to technological advancements in PA data applications to address data sharing without compromising data privacy, ownership, and stewardship. Finally, a new PA data sharing and reward model-'PrecisioNexion' is proposed to rationalize data network systems by establishing a robust and self-sustaining business model. The model uses AI and blockchain technology to track and stamp PA data using unique dataset_IDs or PrecisionPrint (like a fingerprint), determining credit amounts using 'pVouchers' (like eVouchers) and distributing credits between PA data owners or 'PrecisionProprietor', data clients or 'PrecisionClient' and funders or 'PrecisionPatron'. The proposed system provides a foundation for win-win-win PA data sharing and self-sustaining business models for data owners, technology solutions providers and funders, while ensuring a strong partnership between farmers' cooperatives, private sector, scientists, governments, and financial institutions, and countries.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Precision agriculture; Data; AI; Blockchain

【发表时间】

【收录时间】2022-07-27

【文献类型】 理论性文章

【DOI】 10.1007/s11119-022-09928-w

【Author】 Neela, K. L. Kavitha, V

【Source】APPLIED INTELLIGENCE CCF-C

【影响因子】5.019

【主题类别】

区块链技术-核心技术-加密算法

【Abstract】Enormous reports, like scanned medical pictures and electronic patient records, are generated by modern healthcare equipment, and these reports must be secured for future access. Conventional storage technologies are incapable of storing large amounts of data. Cloud storage systems, fortunately, satisfy because of their features, like availability and scalability. Although medical images can be saved in the cloud, majority of cloud service providers store them in plain text format. Because of hackers and the increasing computer power, current image encryption methods are vulnerable to attacks. Therefore, a Block chain based Chaotic Deep Generative Adversarial Network (GAN) Encryption Scheme is proposed. The BCDGE uses blockchain technology to protect personal information and verify the authenticity of the data. Secondly, the Chaotic Deep GAN Encryption method uses confusion, substitution, and diffusion principles to encrypt the medical image. The Deep GAN creates image-specific secret keys to improve the resilience against hackers, produced keys utilized as an input for confusion and diffusion phases. The sender transfers the encrypted medical picture to the cloud server, signs the ciphertext ID, and saves it to block chain. The security and performance analysis of the proposed scheme gives better results than the existing schemes.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cloud computing; Medical image; Data security; Encryption; Block chain; Cryptography

【发表时间】

【收录时间】2022-07-27

【文献类型】 理论性文章

【DOI】 10.1007/s10489-022-03730-x

【Author】 Wan, Xiaoyu Liu, Jia Zhao, Siqi

【Source】SCIENTIFIC REPORTS

【影响因子】4.996

【主题类别】

区块链应用-实体经济-电商领域

【Abstract】Changes in the online car-hailing industry have brought new challenges to government governance. Effectively enhancing governance efficiency has become the focus of academic research. Based on the technical governance perspective, this paper introduces the consortium blockchain to construct an evolutionary game model between the online car-hailing platform and the government under blockchain technology. By solving the replicated dynamic equations and the Jacobian matrix, the influences of the change in initial conditions and decision parameters on the evolutionary stability results are revealed, and numerical experiments are carried out by using the Python programming language. This paper claims that the system presents three evolutionary stable results and a periodic stochastic state when the key parameters are located in different thresholds. The additional cost of the platform's negative regulation and the government's punishment intensity have a positive effect on the evolution of the system to the ideal state (active regulation, active governance). Platform technology R&D cost and government innovation input have a negative effect on the evolution of the system to the ideal state. Therefore, using blockchain to increase the additional cost of the platform's negative regulation, appropriately increasing the government's punishment intensity, reasonably controlling the government's innovation input to the platform, and reducing the technology R&D cost of the platform will help the system evolve into an ideal state. This paper provides useful references to implement effective governance and the innovative and healthy development of the online car-hailing industry.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 理论性文章

【DOI】 10.1038/s41598-022-11741-4

【Author】 Richard, Richard Prabowo, Harjanto Trisetyarso, Agung Soewito, Benfano

【Source】FRONTIERS IN PSYCHOLOGY

【影响因子】4.232

【主题类别】

区块链应用-实体经济-其他

【Abstract】

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; leadership; change leader effectiveness; organizational change; strategy

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 理论性文章

【DOI】 10.3389/fpsyg.2022.907586

【Author】 Munir, M. Adeel Habib, M. Salman Hussain, Amjad Shahbaz, Muhammad Ali Qamar, Adnan Masood, Tariq Sultan, M. Mujtaba, M. A. Imran, Shahid Hasan, Mudassir Akhtar, Muhammad Saeed Ayub, Hafiz Muhammad Uzair Salman, Chaudhary Awais

【Source】FRONTIERS IN ENERGY RESEARCH

【影响因子】3.858

【主题类别】

区块链应用-实体经济-供应链

【Abstract】Due to the rapid increase in environmental degradation and depletion of natural resources, the focus of researchers is shifted from economic to socio-environmental problems. Blockchain is a disruptive technology that has the potential to restructure the entire supply chain for sustainable practices. Blockchain is a distributed ledger that provides a digital database for recording all the transactions of the supply chain. The main purpose of this research is to explore the literature relevant to blockchain for sustainable supply chain management. The focus of this review is on the sustainability of the blockchain-based supply chain concerning environmental conservation, social equality, and governance effectiveness. Using a systematic literature review, a total of 136 articles were evaluated and categorized according to the triple bottom-line aspects of sustainability. Challenges and barriers during blockchain adoption in different industrial sectors such as aviation, shipping, agriculture and food, manufacturing, automotive, pharmaceutical, and textile industries were critically examined. This study has not only explored the economic, environmental, and social impacts of blockchain but also highlighted the emerging trends in a circular supply chain with current developments of advanced technologies along with their critical success factors. Furthermore, research areas and gaps in the existing research are discussed, and future research directions are suggested. The findings of this study show that blockchain has the potential to revolutionize the entire supply chain from a sustainability perspective. Blockchain will not only improve the economic sustainability of the supply chain through effective traceability, enhanced visibility through information sharing, transparency in processes, and decentralization of the entire structure but also will help in achieving environmental and social sustainability through resource efficiency, accountability, smart contracts, trust development, and fraud prevention. The study will be helpful for managers and practitioners to understand the procedure of blockchain adoption and to increase the probability of its successful implementation to develop a sustainable supply chain network.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; sustainable supply chain; green supply chain; triple bottom-line; circular supply chain; traceability

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 综述

【DOI】 10.3389/fenrg.2022.899632

【Author】 MUGHAL, M. U. H. A. M. M. A. D. H. U. S. S. A. I. N. SHAIKH, Z. U. B. A. I. R. A. H. M. E. D. ALI, K. H. U. R. S. H. E. D. ALI, S. A. F. D. A. R. HASSAN, S. A. I. F.

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链技术-核心技术-分布式存储

【Abstract】The streamflow data acquisition with various techniques and dispersing of River's locations demand improvement of reliability and frequency aspects. One of the reliability measurement characteristics is data ownership. The authority sharing data authorizes its quality and is also responsible for the wrong decision triggered by incorrect data. The consensus-based crowdsourcing data contribute to aggregated streamflow records' generation. The aggregated streamflow records are stored on a streamflow ledger, a Hyperledger fabric-based ledger for rivers' streamflow data. In contrast, InterPlanery File System (IPFS) distributed file storage system is helpful for policy documents and distribution scheme storage. Blockchain-based techniques for improvement of data-intensive decision support systems. The distributed river streamflow data measured and shared by distributed gauging officials and stored on the blockchain-based distributed storage system contributes to scalability, transparency, availability, and accessibility of shareable data. All stakeholders require quality data with trust and provenance management through a persistent, linked, and immutable copy of data. This technique resolves the conflict or disagreement on streamflow optimization and flood mitigation decisions. In a nutshell, the blockchain technology with IPFS for off-chain large files storage would contribute twofold to irrigation systems and flood mitigation domains. On one side, the streamflow data aggregation has consensus from streamflow assessment for software agents and stakeholders. Secondly, the persistent data copy is shared among distributed stakeholders using IPFS-based content addressed file-sharing protocol for a common operating picture to improve effective collaboration and coordination among managers of irrigation systems and flood mitigation activities.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Stakeholders; Monitoring; Rivers; Blockchains; Irrigation; Wireless sensor networks; Floods; IPFS; blockchain; irrigation system; Internet of Things; trust; reliability; consensus

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 理论性文章

【DOI】 10.1109/ACCESS.2022.3178728

【Author】 Yan, K. Cui, L. Zhang, H. Liu, S. Zuo, M.

【Source】ADVANCES IN PRODUCTION ENGINEERING & MANAGEMENT

【影响因子】3.419

【主题类别】

区块链应用-实体经济-供应链

【Abstract】Blockchain technology has subverted traditional supply chain operational models and transformed information interactions along supply chains. This paper examines the impact of blockchain technology on supply chain information collaboration and operating costs. This paper develops a three-level supply chain model based on blockchain technology that incorporates retailer sensitivity to information. First, the manufacturer's profit function is developed, and the optimal information-sharing quantity and supply chain pricing decisions are analysed. Then, cost models for both the traditional supply chain and the novel supply chain using blockchain technology are developed and the impact of blockchain technology on supply chain operating costs is determined. The results demonstrate that blockchain technology can effectively reduce supply chain operating costs. In addition, this study has an interesting finding that if blockchain adoption is valuable for the supply chain, the quantity of information-sensitive should be moderate. Too many or too few information-sensitive retailers can reduce the value of the blockchain's use. This is because blockchain is implementation will increase the privacy concerns of supply chain companies.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain-based supply chain; Supply chain management; Information management; Operations management; Information-sensitive; Costs

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 实证性文章

【DOI】 10.14743/apem2022.1.417

【Author】 Zhou, Wei Wang, Hao Mohiuddin, Ghulam Chen, Dan Ren, Yongjun

【Source】INTELLIGENT AUTOMATION AND SOFT COMPUTING

【影响因子】3.401

【主题类别】

区块链技术-核心技术-共识机制

【Abstract】As the basis of cloud computing, distributed storage technology mainly studies how data centers store, organize and manage data. Blockchain has become the most secure solution for cloud storage due to its decentralization and immutability. Consensus mechanism is one of the core technologies of blockchain, which affects the transaction processing capability, security and scalability of blockchain. The current mainstream consensus algorithms such as Proof of Work, Proof of Stake, and Delegated Proof of Stake all have the problem of wasting resources. And with the explosive growth of data, cloud storage nodes store a large amount of redundant data, which inevitably increases storage overhead and computing cost. To this end, we propose to use the Proof of Retrievability with deduplication algorithm as the consensus mechanism of the blockchain system and design a blockchain consensus protocol suitable for distributed storage. First, the data integrity verification protocol in the scheme guarantees that storage nodes correctly store the data they promise to store. Second, the deduplication algorithm in the protocol can optimize data auditing, greatly reduce the need for data storage space, and improve the scalability of data transmission. In addition, the scheme uses ring signatures in the audit process to ensure user anonymity and data unlinkability, while providing highly reliable data storage, and ensuring data storage security through blockchain. Finally, we demonstrate the security of the proposed scheme and evaluate its performance. The evaluation results show that our scheme is efficient and scalable.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Integrity verification; consensus; blockchain; deduplication

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 实证性文章

【DOI】 10.32604/iasc.2022.029657

【Author】 ZareRavasan, Ahad Jeyaraj, Anand

【Source】JOURNAL OF COMPUTER INFORMATION SYSTEMS CCF-C

【影响因子】3.317

【主题类别】

区块链治理-元分析-主题识别

【Abstract】Information Systems Business Value (ISBV) has been a key research topic within the information systems discipline through time. Over the last three decades, ISBV research has dealt with various aspects such as the type of relationships, research methods, theoretical foundations, influencing factors, and measurement issues. This research applies topic modeling on the abstracts of 2824 articles published between 1990 and 2020. Results show that topics such as IS management, IS implementation, and IS public services had endured over time; topics such as IS strategy and IS design had initially gained and then lost traction; and topics such as IS social practices, IS emerging services, and IS sustainability have gained momentum in recent years. Further, ISBV research tends to examine specific and emerging IS tools, technologies, and applications such as Blockchain, Internet of Things (IoT), and business analytics, and seems poised for greater focus on IS sustainability in the near future.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Business value; information systems; information systems business value; review; topic modeling

【发表时间】

【收录时间】2022-07-27

【文献类型】 综述

【DOI】 10.1080/08874417.2022.2085212

【Author】 Chen, Songling Fu, Xiangling Si, Hongchao Wang, Yi Gao, Songfeng Wang, Chunyuan

【Source】SOFTWARE-PRACTICE & EXPERIENCE

【影响因子】3.200

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Health Internet of Things (Health IoT) has been limited by isolated information and a lack of security. As the combination of blockchain and Health IoT could potentially address these two limitations, it has attracted significant interest. However, blockchain-based systems often fail to balance data sharing and privacy protection. Therefore, we proposed a Health IoT-based privacy-preserving data sharing blockchain system. We designed a privacy-preserving method based on the content extraction signature scheme to enable patients to establish fine-grained privacy protection. We designed a Byzantine fault-tolerant leader election mechanism that enhances the security of the Raft algorithm while providing efficiency in the data sharing. Furthermore, we designed a summary contract to ensure efficient data retrieval. The proposed mechanism was evaluated in terms of the efficiency and security. The simulation and analysis results demonstrate that our scheme offers a secure and effective technique for achieving privacy-preserving and efficient sharing of IoT medical data.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; data sharing; healthcare; Internet of Things (IoT); privacy-preserving; Raft algorithm

【发表时间】

【收录时间】2022-07-27

【文献类型】 实证性文章

【DOI】 10.1002/spe.3114

【Author】 Peng, Sheng Cai, Zhiming Liu, Wenjian Wang, Wennan Li, Guang Sun, Yutin Zhu, Linkai

【Source】COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE

【影响因子】3.120

【主题类别】

区块链技术-核心技术-加密算法

【Abstract】To ensure the security of data transmission and recording in Internet environment monitoring systems, this paper proposes a study of a secure method of blockchain data transfer based on homomorphic encryption. Blockchain data transmission is realized through homomorphic encryption. Homomorphic encryption can not only encrypt the original data, but also ensure that the data result after decrypting the data is the same as the original data. The asymmetric encrypted public key is collected by Internet of things (IoT) equipment to realize the design of blockchain data secure transmission method based on homomorphic encryption. The experimental results show that the accuracy of the first transmission is as high as 88% when using the transmission method in this paper. After several experiments, the transmission accuracy is high by using the design method in this paper. In the last test, the transmission accuracy is still 88%, and the data transmission effect is relatively stable. At the same time, compared to the management method used in this article, the transfer method used in this paper is more reliable than the original transfer method and is not prone to data distortion. It can be seen that this method has high transmission accuracy and short transmission time, which effectively avoids the data tampering caused by too long time in the transmission process.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 实证性文章

【DOI】 10.1155/2022/3406228

【Author】 Li, Ming Xiao, Peng

【Source】COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE

【影响因子】3.120

【主题类别】

区块链技术-核心技术-区块传输

【Abstract】In light of the continuous development of Internet technology, many problems involving network security based on the blockchain have also been observed gradually. In this paper, the existence forms of network security hazards based on the blockchain are explored to establish a network blockchain security sharing model based on fuzzy logic. In security sharing, network blockchains are often maintained by many parties. This poses new potential threats and challenges to privacy protection in these multiparty network blockchains. This paper proposes a research scheme for a network blockchain security sharing model based on fuzzy logic. The tampering of the protected network blockchain is prevented by blockchain, and the fuzzy logic algorithm is used to ensure its confidentiality. This solution allows the exchange in the protected network blockchain and the security of transaction information based on the fuzzy logic algorithm. According to the results of the experiments, this method can ensure security sharing of the network blockchain with high practicality and achieve the expected design effect.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 实证性文章

【DOI】 10.1155/2022/1509000

【Author】 Rahmani, Mohammad Khalid Imam Shuaib, Mohammed Alam, Shadab Siddiqui, Shams Tabrez Ahmad, Sadaf Bhatia, Surbhi Mashat, Arwa

【Source】COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE

【影响因子】3.120

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】The internet of medical things (IoMT) is a smart medical device structure that includes apps, health services, and systems. These medical equipment and applications are linked to healthcare systems via the internet. Because IoT devices lack computational power, the collected data can be processed and analyzed in the cloud by more computationally intensive tools. Cloud computing in IoMT is also used to store IoT data as part of a collaborative effort. Cloud computing has provided new avenues for providing services to users with better user experience, scalability, and proper resource utilization compared to traditional platforms. However, these cloud platforms are susceptible to several security breaches evident from recent and past incidents. Trust management is a crucial feature required for providing secure and reliable service to users. The traditional trust management protocols in the cloud computing situation are centralized and result in single-point failure. Blockchain has emerged as the possible use case for the domain that requires trust and reliability in several aspects. Different researchers have presented various blockchain-based trust management approaches. This study reviews the trust challenges in cloud computing and analyzes how blockchain technology addresses these challenges using blockchain-based trust management frameworks. There are ten (10) solutions under two broad categories of decentralization and security. These challenges are centralization, huge overhead, trust evidence, less adaptive, and inaccuracy. This systematic review has been performed in six stages: identifying the research question, research methods, screening the related articles, abstract and keyword examination, data retrieval, and mapping processing. Atlas.ti software is used to analyze the relevant articles based on keywords. A total of 70 codes and 262 quotations are compiled, and furthermore, these quotations are categorized using manual coding. Finally, 20 solutions under two main categories of decentralization and security were retrieved. Out of these ten (10) solutions, three (03) fell in the security category, and the rest seven (07) came under the decentralization category.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 综述

【DOI】 10.1155/2022/9766844

【Author】 Belles-Munoz, Marta Baylina, Jordi Daza, Vanesa Munoz-Tapia, Jose L.

【Source】IEEE SOFTWARE

【影响因子】3.000

【主题类别】

区块链技术-协同技术-隐私计算

【Abstract】In this article, we present the software tools we have implemented to bring complex privacy technologies closer to developers and to facilitate the implementation of privacy-enabled blockchain applications.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 实证性文章

【DOI】 10.1109/MS.2021.3086718

【Author】 Tian, Junfeng Song, Qianqian

【Source】JOURNAL OF SUPERCOMPUTING

【影响因子】2.557

【主题类别】

区块链应用-实体经济-其他

【Abstract】The rapid development of cloud storage encourages more and more users to store data onto the cloud. To improve the availability of data services, users usually use multiple replicas technology to store data. Therefore, the integrity verification and dynamic updates of multiple replicas are very critical for users. In this paper, we design an efficient auditing scheme for a novel structure of multiple replicas. The scheme introduces blockchain technology to generate random and undeniable challenge messages, users only need to perform batch verification on auditing results from the third-party auditor (TPA) to confirm the integrity of multiple replicas of data in the cloud, which prevents malicious TPA from forging auditing results. Besides, sharing a dynamic structure of multiple replicas files reduces storage overhead, the average performance of dynamic updates is O(1). This scheme allows batch verification of any number of replicas of multiple users, which improves auditing efficiency significantly. Moreover, when batch auditing fails, damaged data files can be found by using the recursive performance of the Lucas sequence. Security analysis presents that the security of this scheme is trustworthy. Theoretical analysis and experimental results show that our design can achieve efficient dynamic updates and batch auditing.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Multiple replicas; Blockchain technology; Dynamic updates; Batch auditing

【发表时间】

【收录时间】2022-07-27

【文献类型】 理论性文章

【DOI】 10.1007/s11227-022-04598-x

【Author】 Upadhyay, Shrikant Kumar, Mohit Kumar, Ashwani Ghafoor, Kayhan Zrar Manoharan, S.

【Source】JOURNAL OF SENSORS

【影响因子】2.336

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Voice of any human plays an important role in communication and sharing information among each other. Through voice, internal behavior can be identified as to whether the person is happy or angry which is reflected. A person's behavior is not exactly reflected by their face; variation in his/her voice reflects somehow their behavior as there will be variation in voice and variation in frequency and pitch. Feelings and natural behaviors are important features, and there are many biological aspects through which they can be identified. Therefore, in this paper, we consider a Hindi speech specimen of different groups to identify the person's behavior and natural feelings under different acoustic conditions. Many research papers show emotion recognition based on neural networks with different models using speech signals to identify the present status of any patient, and it helps to build a way for a smart healthcare system. Enabling service in terms of Blockchain means the sufferer does not require communicating with complex and failed tasks for collecting information from various sources to send to their expert. Blockchain provides experts access to systems and enables entry to the dataset section. Patients have total control over their data, and they no longer require monitoring to keep their data managed and up to date. Also, manually coordinating with data is required for multiple visitors, which can be a very tedious one. In this paper, we focused on feature removal of speech using different extraction approaches which were used to know the quality or state of voice specimens and also understand which feature extraction plays a vital role in gaining a close state of speech. Internet of Things-based learning platforms are used to gather the voice sample, and also, a deep gaining method was followed to reach and achieve the best accuracy and identify the error rate which will help to gather close behavior and state of mind. Finally, a proposed model based on the Gaussian mixture model as a classifier was used for its spotting and attestation.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 理论性文章

【DOI】 10.1155/2022/3862860

【Author】 Chen, Xi Yang, Jian Qiu, Junfei

【Source】WIRELESS COMMUNICATIONS & MOBILE COMPUTING CCF-C

【影响因子】2.146

【主题类别】

区块链技术-核心技术-共识机制

【Abstract】High frequency (HF) is an important method for long-range communications and even the only mean when satellites are destroyed or interfered, which play an essential role in defense and economic construction. However, noncooperative frequency competition accompanied with power competition results in the continuously deterioration of HF electromagnetic environment. This article endeavors to resolve this issue through proposing blockchain-empowered HF spectrum management. Specifically, massive personal HF devices are organized around the preselected nodes to construct HF spectrum management IoT, further monitor, and share HF data through PBFT (Practical Byzantine Fault Tolerance) protocol. To address the scalability problem during the consensus, a multilayer PBFT consensus protocol is employed. Scalability evaluations show that increasing consensus layers of PBFT greatly reduces the communication complexity. Security assessments illustrate that the security performance will decline with the increase of layers. Tradeoff has been made between the communication complexity and security performance, indicating 2-4 layers PBFT is sufficient, which bring down the communication complexity and also achieve acceptable security performance.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 实证性文章

【DOI】 10.1155/2022/2857510

【Author】 Zhang, Guofeng Chen, Xiao Feng, Bin Guo, Xuchao Hao, Xia Ren, Henggang Dong, Chunyan Zhang, Yanan

【Source】SECURITY AND COMMUNICATION NETWORKS CCF-C

【影响因子】1.968

【主题类别】

区块链应用-实体经济-农牧领域

【Abstract】Blockchain provides new technologies and ideas for the construction of agricultural product traceability system (APTS). However, if data is stored, supervised, and distributed on a multiparty equal blockchain, it will face major security risks, such as data privacy leakage, unauthorized access, and trust issues. How to protect the privacy of shared data has become a key factor restricting the implementation of this technology. We propose a secure and trusted agricultural product traceability system (BCST-APTS), which is supported by blockchain and CP-ABE encryption technology. It can set access control policies through data attributes and encrypt data on the blockchain. This can not only ensure the confidentiality of the data stored in the blockchain, but also set flexible access control policies for the data. In addition, a whole-chain attribute management infrastructure has been constructed, which can provide personalized attribute encryption services. Furthermore, a reencryption scheme based on ciphertext-policy attribute encryption (RE-CP-ABE) is proposed, which can meet the needs of efficient supervision and sharing of ciphertext data. Finally, the system architecture of the BCST-APTS is designed to successfully solve the problems of mutual trust, privacy protection, fine-grained, and personalized access control between all parties.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 实证性文章

【DOI】 10.1155/2022/2958963

【Author】 Liu, Jing Liu, Rongchao Lai, Yingxu

【Source】SECURITY AND COMMUNICATION NETWORKS CCF-C

【影响因子】1.968

【主题类别】

区块链应用-实体经济-其他

【Abstract】With the continuous progress of computer technology, static identity authentication technology has encountered challenges in practical applications; in addition, it has deficiencies in continuity and mutability. For these reasons, we propose a risk-based dynamic identity authentication method based on the Usage Control (UCON) model. When authenticating a user, we consider their access rights based on the degree of risk, except in case of password authentication. We propose a risk assessment method, and blockchain technology is used in the scheme to provide a reliable process for risk assessment and authorization. Our scheme represents an improvement in traditional identity authentication, resulting in higher continuity and mutability. We also prove that the scheme has high security and scalability.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 理论性文章

【DOI】 10.1155/2022/2509267

【Author】 Guo, Jianan Wang, Yilei An, Hui Liu, Ming Zhang, Yiting Li, Chunmei

【Source】SECURITY AND COMMUNICATION NETWORKS CCF-C

【影响因子】1.968

【主题类别】

区块链应用-实体经济-其他

【Abstract】Event-based Social Networks (EBSN), combining online networks with offline users, provide versatile event recommendations for offline users through complex social networks. However, there are some issues that need to be solved in EBSN: (1) The online static data could not satisfy the online dynamic recommendation demand; (2) the implicit behavior information tends to be ignored, reducing the accuracy of the recommendation algorithm; and (3) the online recommendation description is inconsistent with the offline activity. To address these issues, an Incentive Improved DQN (IIDQN) based on Deep Q-Learning Networks (DQN) is proposed. More specifically, we introduce the agents to interact with the environment through online dynamic data. Furthermore, we consider two types of implicit behavior information: the length of the user's browsing time and the user's implicit behavior factors. As for the problem of inconsistency, based on blockchain technology, a new activities event approach on EBSN is proposed, where all activities are recorded on the chain. Finally, the simulation results indicate that the IIDQN algorithm greatly outperforms in mean rewards and recommendation performance than before DQN.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 实证性文章

【DOI】 10.1155/2022/7502248

【Author】 Deb, Nabamita Elashiri, Mohamed A. Veeramakali, T. Rahmani, Abdul Wahab Degadwala, Sheshang

【Source】MATHEMATICAL PROBLEMS IN ENGINEERING

【影响因子】1.430

【主题类别】

区块链技术-核心技术-加密算法

【Abstract】Unlike public chains, the Alliance Blockchain Hyperledger Fabric has a member management service mechanism that may provide data isolation security at the channel level. However, because this data isolation security technique synchronizes plaintext data inside the channel, data leakage is still a possibility. Furthermore, in some fine-grained privacy protection circumstances, channel-based data access restriction is ineffective. In order to solve the data privacy security problems in the above-mentioned consortium chain superledger, a blockchain data attribute encryption scheme based on ciphertext policy is proposed. Combining the original Fabric Certificate Authority module in the Hyperledger, the proposed scheme can realize the user-level fine-grained security access to control blockchain data while also realizing the secure distribution of user attribute keys in the blockchain data attribute encryption scheme based on the ciphertext policy scheme. The security analysis of the scheme shows that the scheme achieves the security goals of attribute-based encryption user attribute private key secure distribution and data privacy protection. The scope of this research is that this study confirms that the solution's architecture achieves fine-grained access control of private data on the Hyperledger Blockchain network and also the security objectives of secure transmission of user characteristic secret keys and data privacy protection. The performance analysis part also shows that the proposed scheme has good usability.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 实证性文章

【DOI】 10.1155/2022/7579961

【Author】 Yuan, Lina

【Source】MATHEMATICAL PROBLEMS IN ENGINEERING

【影响因子】1.430

【主题类别】

区块链技术-协同技术-物联网

【Abstract】A security model of multimedia education resource fusion based on multistage integration of multimedia educational resources is constructed in this paper in the context of smart education. First, the teaching model of multimedia education resource fusion is analyzed and the IoT communication evolution model and functional architecture model are constructed accordingly, based on which the realization path of IoT intelligent sensing, intelligent management, emotional computing, device sharing, and vision simulation functions for smart education are discussed. The security model uses a decentralized cryptographic data security sharing method based on blockchain for protection and supports blockchain to record user attributes to ensure the confidentiality and integrity of data. The experimental and analytical results indicate that the scheme can effectively reduce the computational overhead of smart devices while ensuring the security of data sharing. Moreover, the proposed model in the paper achieves better performance than other methods in terms of security strength, encryption, and decryption time.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-07-27

【文献类型】 实证性文章

【DOI】 10.1155/2022/3624360