【Author】 Voelter, Fabiane Urbach, Nils Padget, Julian

【Source】INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT

【影响因子】18.958

【主题类别】

区块链技术-协同技术-人机交互

【Abstract】Information systems research emphasizes that blockchain requires trust in the technology itself. However, we lack knowledge on the applicability of established trust cues to blockchain technology. Thus, this paper's objective is to empirically evaluate the effectiveness of several established IS trust formation factors on end user trust. We do so by conducting a between-groups experiment. While we can validate the applicability of previous IS trust research for blockchain technology to some extent, we find that trust signals emphasizing the technology's underlying trust-building characteristics are most effective. Hence, we highlight the need for contextualization of trust research on blockchain technology. We provide both researchers and practitioners with insights for building trustworthy blockchain applications that enable trust-less interactions not only in theory but in practice.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Trustworthiness; Distributed Ledger; Human-Computer-Interaction; End Users

【发表时间】2023

【收录时间】2022-12-20

【文献类型】 实验仿真

【DOI】 10.1016/j.ijinfomgt.2021.102429

【Author】 Utz, Manuel Johanning, Simon Roth, Tamara Bruckner, Thomas Strueker, Jens

【Source】INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT

【影响因子】18.958

【主题类别】

区块链应用-实体经济-电力领域

【Abstract】Global initiatives on climate protection and national sustainability policies are accelerating the replacement of fossil fuels with renewable energy sources. Many electricity suppliers are engaged in efforts to monetize this transition with 'green' services and products, such as Green Electricity Tariffs. These promise customers that their supply includes a specific share of green electricity, yet since electricity suppliers often fail to deliver on those promises, many customers have lost trust in their suppliers. Further information asymmetries may not only exacerbate this loss of trust, but also spark distrust and lead to an overall feeling of ambivalence. Eventually, ambivalent customers may feel inclined to switch suppliers. To prevent this domino effect, electricity suppliers must eliminate ambivalence by increasing customer trust and reducing customer distrust. Here, we discuss how these challenges can be met with a customer loyalty program built on blockchain technology. We developed the program following a Design Science Research approach that facilitated refinement in four iteration and evaluation cycles. Our results indicate that the developed customer loyalty program restores trust, reduces distrust, and resolves customer ambivalence by providing four features: improved customer agency, sufficient and verifiable information, appropriate levels of usability, and unobstructed data access.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Ambivalence; Blockchain; Customer loyalty; Design Science ResearchDistrust; Trust

【发表时间】2023

【收录时间】2022-12-20

【文献类型】 实证数据

【DOI】 10.1016/j.ijinfomgt.2022.102496

【Author】 Treiblmaier, Horst Garaus, Marion

【Source】INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT

【影响因子】18.958

【主题类别】

区块链应用-实体经济-食品领域

【Abstract】Food safety is a public health issue of paramount importance. In this regard, blockchain has emerged as a promising technology that allows users to effectively and efficiently record the origin and flow of products and eliminate or reduce harmful food fraud. Consumers can benefit from this development by receiving up-to-date and verifiable information about the origins and delivery routes of their purchases. Drawing on signaling theory and the results of two experimental studies with 151 and 152 participants, respectively, we investigate how the use of blockchain to trace food products impacts consumers' perception of product quality as a mediating variable and subsequently their purchase intention. Our framework further considers brand familiarity as a moderating variable. The findings from the two experiments show that blockchain labels as a signaling mechanism in food supply chains help to strengthen consumers' perceived quality of food products, which, in turn, increases their purchase intention. This effect is more pronounced for less familiar brands, which is valuable information for managers who want to build a brand's reputation. From an academic perspective, we highlight the applicability of signaling theory to identify blockchain-based traceability systems as important drivers of perceived product quality and consequently purchase intention.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Food supply chain; Traceability; Signaling theory; Brand familiarity; Labeling

【发表时间】2023

【收录时间】2022-12-20

【文献类型】 实证数据

【DOI】 10.1016/j.ijinfomgt.2022.102514

【Author】 Di Vaio, Assunta Hassan, Rohail Palladino, Rosa

【Source】INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT

【影响因子】18.958

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】This study examines the literary corpus on the role and potential of blockchain technology in promoting gender equality through the lens of new technology-oriented corporate governance models. It investigates if and how corporate governance models can include blockchain technology to add value to gender equality and inclusion processes, in line with Sustainable Development Goal (SDG) 5. A bibliometric analysis of a database-containing 127 articles, 4 United Nations reports, 3 European institutions' reports, 1 International Labour Office report, 1 World Economic Forum report, and 4 industry reports useful to our analysis-was conducted from 1990 to 2021, to provide a map of the knowledge generated and circulated by the literature. This study offers insights into publication activities, essential topics, citation trends, and the status of collaborations between contributors to previous research and aggregated contributions to the area of blockchain technology studies. Furthermore, the study offers a retrospective analysis of the content published in the blockchain technology field. The findings indicate that field research has focussed primarily on blockchain's economic and financial attributes but not on social potential. This study emphasises the implementation of blockchain technology to manage gender equality and inclusion processes by orienting corporate governance models towards social and sustainable values.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain technology; Females; Corporate governance; Digital innovation; Sustainable Development Goals

【发表时间】2023

【收录时间】2022-12-20

【文献类型】 综述

【DOI】 10.1016/j.ijinfomgt.2022.102517

【Author】 Denter, Nils M. Seeger, Fabian Moehrle, Martin G.

【Source】INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT

【影响因子】18.958

【主题类别】

区块链应用-实体经济-知识产权

【Abstract】Patent management tasks involve many stakeholders from diverse disciplines and hierarchies as well as from inside and outside the organization. By drawing on the transaction cost and stakeholder theories, Blockchain technology offers new opportunities to rethink the way in which stakeholders are organized and collaborate. Although Blockchain technology receives considerable attention from both the public and academia, the question of how Blockchain technology leverages patent management in particular has so far been neglected, although it holds great promise. Consequently, this is what we choose to be our basic research question. In response to it, we conduct a systematic literature review, following a procedure in three steps. Out of an initial sample of 714 articles, we select 52 as being particularly relevant, and classify them in accordance with the dimensions of the 7D Patent Management Maturity Model. Three main foci regarding the use of Blockchain technology emerge - i. e. for the generation, the enforcement, and the exploitation of patents. This study contributes to scholarship and management by showing that Blockchain technology mitigates environmental and behavioral uncertainty, while stimulating new governance forms and business models by reorganizing or discarding stakeholders.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Patent management; Blockchain technology; Distributed ledger; Transaction cost theory; Stakeholder theory

【发表时间】2023

【收录时间】2022-12-20

【文献类型】 综述

【DOI】 10.1016/j.ijinfomgt.2022.102506

【Author】 Chen, Renee Rui Chen, Kun Ou, Carol X. J.

【Source】INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT

【影响因子】18.958

【主题类别】

区块链应用-实体经济-其他

【Abstract】Strategic alliances require mutual trust and collaboration between organizations. To increase alliance performance, organizations in a strategic alliance are more likely to interpret each other's equivocal behaviors in a positive way to sustain the stability of the relationship. Different from traditional mechanisms to build interorganizational trust, blockchain facilitates trust among alliance partners via its technology advantages, for example, public ledger and distributed consensus. The decentralized and distributed nature of a blockchain-based system assures that no single organization can add information to the chain without an approval from the alliance, nor can it make unilateral changes in the system. Drawing from the Affordance Theory, we propose an exploratory research design to understand the structure of a blockchain-based system, as well as how this blockchain-based system influences interorganizational trust in a strategic alliance and how blockchain-enabled interorganizational trust influences alliance performance. The case studies of two eastern banks indicate that the technical features of blockchain can help reduce equivocal behaviors and improve interorganizational trust. We discuss the findings and conclude the paper with implications.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Interorganizational trust; Affordance; Strategic alliances

【发表时间】2023

【收录时间】2022-12-20

【文献类型】 实证数据

【DOI】 10.1016/j.ijinfomgt.2022.102521

【Author】 Singh, Sushil Kumar Yang, Laurence T. Park, Jong Hyuk

【Source】INFORMATION FUSION

【影响因子】17.564

【主题类别】

区块链技术-协同技术-联邦学习

【Abstract】Nowadays, Industries are experiencing rapid changes in the digital environment, referred to as Industry 5.0. The Internet of Things (IoT) and advanced technologies are essential in the industrial environment. Technological advancements can collect, transfer, and analyze vast amounts of data in the industry via promising technologies. Still, IoT has various issues when applied to industrial infrastructures, such as centralization, privacy preservation, latency, and security. This article proposes a scheme as FusionFedBlock: Fusion of Blockchain and Federated Learning to Preserve Privacy in Industry 5.0 to address the aforementioned issues. At the federated layer, the industry's departments (Production, Quality Control, Distribution) allow local learning updates with network automation and communicate to the global model, which miners verify in the Blockchain networks. Federated-Learning offers privacy preservation between various mentioned departments in industries. Decentralized secure storage is provided by the Distributed Hash Table (DHT) at the cloud layer. The validation outcomes of the proposed scheme demonstrate excellent performance as the accuracy of 93.5% in a 50% active node for Industry 5.0 compared to existing frameworks.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Federated learning; Information fusion; Privacy -preservation; Industrial IoT; Industry 5; 0; Security

【发表时间】2023

【收录时间】2022-12-20

【文献类型】 实证数据

【DOI】 10.1016/j.inffus.2022.09.027

【Author】 Benkhaddra, Ilyas Kumar, Abhishek Bensalem, Zine El Abidine Hang, Lei

【Source】EXPERT SYSTEMS WITH APPLICATIONS CCF-C

【影响因子】8.665

【主题类别】

区块链技术-核心技术-加密算法

【Abstract】Secure transmission of data is achieved through the steganography images, where the secret data are embedded and transmitted so that the prohibited users couldn't able to access the data. In this research, the data are embedded in the optimal location of the network using the proposed FIEO Optimal Location Enabled Stegochain. The algorithm effectively determines the location for the embedding of secret data in the finest region of the image with faster convergence. The two different steps utilized in the research is the determination of the optimal location for embedding the image using the proposed algorithm and the embedded image transformation using the discrete wavelet transform while transferring the image is the first step. And the reconstruction of the original image at the receiver side with the help of the Inverse discrete wavelet transform is performed (IDWT). The performance of the proposed method is evaluated in terms of the performance metrics such as correlation co-efficient, and PSNR with the salt and pepper noise is 0.777, and 52.588 respectively. Similarly, for the random noise the correlation coefficient and PSNR obtained by the proposed method are 0.796, and 52.397 respectively.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Optimization; Steganography images; Secure transmission; Image embedding; DWT

【发表时间】2023

【收录时间】2022-12-20

【文献类型】 实验仿真

【DOI】 10.1016/j.eswa.2022.118469

【Author】 Oyedele, Azeez A. Ajayi, Anuoluwapo O. Oyedele, Lukumon O. Bello, Sururah A. Jimoh, Kudirat O.

【Source】EXPERT SYSTEMS WITH APPLICATIONS CCF-C

【影响因子】8.665

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】The emergence of cryptocurrencies has drawn significant investment capital in recent years with an exponential increase in market capitalization and trade volume. However, the cryptocurrency market is highly volatile and burdened with substantial heterogeneous datasets characterized by complex interactions between predictors, which may be difficult for conventional techniques to achieve optimal results. In addition, volatility significantly impacts investment decisions; thus, investors are confronted with how to determine the price and assess their financial investment risks reasonably. This study investigates the performance evaluation of a genetic algorithm tuned Deep Learning (DL) and boosted tree-based techniques to predict several cryptocurrencies' closing prices. The DL models include Convolutional Neural Networks (CNN), Deep Forward Neural Networks, and Gated Recurrent Units. The study assesses the performance of the DL models with boosted tree-based models on six cryptocurrency datasets from multiple data sources using relevant performance metrics. The results reveal that the CNN model has the least mean average percentage error of 0.08 and produces a consistent and highest explained variance score of 0.96 (on average) compared to other models. Hence, CNN is more reliable with limited training data and easily generalizable for predicting several cryptocurrencies' daily closing prices. Also, the results will help practitioners obtain a better understanding of crypto market challenges and offer practical strategies to lower risks.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Artificial intelligence; Deep learning; Boosted trees; Optimization; Forecasting; Cryptocurrencies

【发表时间】2023

【收录时间】2022-12-20

【文献类型】 理论模型

【DOI】 10.1016/j.eswa.2022.119233

【Author】 Papanikolaou, Efstathios Angelis, Jannis Moustakis, Vassilis

【Source】TECHNOLOGY IN SOCIETY

【影响因子】6.879

【主题类别】

区块链应用-实体经济-其他

【Abstract】Distributed Ledger Technology (DLT), or the blockchain, enables new ways of inter-firm interaction in a net-worked environment. The economic community consisted of organizations, that although independent, are connected and interact through this seminal technology form the DLT ecosystem. DLT may be applicable in many ecosystem types. However, little research has been done on how DLT works in the ecosystem types. We acknowledge specific ecosystem characteristics in a DLT network of actors and argue that there are similarities between various ecosystem types. Our study extends DLT and ecosystem literature by answering the question "How do ecosystem types make fit to DLT?". We build upon the software, technological, digital, innovation, product and service ecosystem literature and examine how do they match to DLT ecosystem. We find that these ecosystems can be part or subset of the DLT ecosystem, but it is the business ecosystem type that fits better to DLT ecosystem conceptualization. We further analyse the characteristics, definitions and enablers of business ecosystem and identify the analogies between these two structures. In this way we provide academics and practitioners alike insight into what characteristics shape DLT business ecosystems and what features it adopts from other ecosystem types.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Distributed ledger; Business ecosystem; Digital ecosystem; Blockchain ecosystem

【发表时间】2023

【收录时间】2022-12-20

【文献类型】 综述

【DOI】 10.1016/j.techsoc.2022.102143

【Author】 Ma, Zhaofeng Wang, Jingyu Gai, Keke Duan, Pengfei Zhang, Yuqing Luo, Shoushan

【Source】JOURNAL OF SYSTEMS ARCHITECTURE

【影响因子】5.836

【主题类别】

区块链技术-协同技术-隐私计算

【Abstract】The growing development of blockchain technology has led to the emergence of blockchain applications for various fields. One significant use of blockchain technology is the edge blockchain network, which is a blockchain network made up of connected edge computer nodes. However, on-chain privacy data leaking is a concern on the present edge blockchain network. The demand for collaborative interaction amongst edge computing nodes in many domains is growing more critical as the Internet of Things continues to evolve. In this paper, we propose a data privacy-preserving scheme for cross edge blockchain network, which uses the privacy protection technology of fully homomorphic encryption to encrypt the data on the chain to ensure the "available and invisible"of the on-chain privacy data. First of all, this paper designs a cross edge blockchain model and give details of the interaction and privacy computing process in the cross edge blockchain. a distributed private key sharing scheme is designed in this work to provide the relay chain's auditable functionality. Subsequently, we describe the security of the scheme in detail. Finally, we implement this scheme using the CKKS algorithm. Through simulation experiments, we evaluate the performance of the instantiation process of the scheme. The test results manifest that the proposed scheme has excellent practicability and security.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Fully homomorphic encryption; Cross blockchain; Privacy-preserving; Edge computing

【发表时间】2023

【收录时间】2022-12-20

【文献类型】 实验仿真

【DOI】 10.1016/j.sysarc.2022.102782

【Author】 Tse, Ying Kei Wang, Shiyun Liu, Xiaohong Wu, Chun Ho

【Source】INDUSTRIAL MANAGEMENT & DATA SYSTEMS

【影响因子】4.803

【主题类别】

区块链应用-实体经济-企业管理

【Abstract】PurposeBlockchain has been considered as a disruptive technology and every industry stands to benefit from it. According to Deloitte, increasing number of managers claim that their firms will suffer loss in competitive advantage if they do not adopt blockchain. Despite this motivation, insufficient knowledge on how can blockchain add value inhibits the commitment to its adoption. To better understand the possible influence of blockchain, two dimensions (exploitation and exploration) of blockchain initiatives are distinguished. This research aims to examine the impact of ambidextrous blockchain initiatives on firms' operational efficiency, as well as the moderating role of unabsorbed slack and environmental munificence.Design/methodology/approachIn this paper, secondary panel data were collected from multiple sources to test the proposed hypotheses. Content analysis was adopted to operationalise ambidextrous blockchain initiatives from firms' official announcements.FindingsThe authors find that firms' ambidexterity in blockchain initiatives have significantly positive impact on operational efficiency. Furthermore, when firms have lower unabsorbed slack or in more munificent environments, they may benefit from managing a balance between exploration and exploitation.Originality/valueThis research offers some insightful theoretical and managerial implications of ambidextrous blockchain initiatives. The findings of this study contribute to blockchain literature by providing theory-driven empirical research.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Organizational ambidexterity; Operational efficiency; Unabsorbed slack; Environmental munificence

【发表时间】

【收录时间】2022-12-20

【文献类型】 实证数据

【DOI】 10.1108/IMDS-05-2022-0298

【Author】 Qiu, Xiaotian Yao, Dengfeng Kang, Xinchen Abulizi, Abudukelimu

【Source】COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE

【影响因子】3.120

【主题类别】

区块链技术-协同技术-隐私计算

【Abstract】The current development of blockchain, technically speaking, still faces many key problems such as efficiency and scalability issues, and any distributed system faces the problem of how to balance consistency, availability, and fault tolerance need to be solved urgently. The advantage of blockchain is decentralization, and the most important thing in a decentralized system is how to make nodes reach a consensus quickly. This research mainly discusses the blockchain and K-means algorithm for edge AI computing. The natural pan-central distributed trustworthiness of blockchain provides new ideas for designing the framework and paradigm of edge AI computing. In edge AI computing, multiple devices running AI algorithms are scattered across the edge network. When it comes to decentralized management, blockchain is the underlying technology of the Bitcoin system. Due to its characteristics of immutability, traceability, and consensus mechanism of transaction data storage, it has recently received extensive attention. Blockchain technology is essentially a public ledger. This is done by recording data related to trust management to this ledger. To collaboratively complete artificial intelligence computing tasks or jointly make intelligent group decisions, frequent communication is required between these devices. By integrating idle computing resources in an area, a distributed edge computing platform is formed. Users obtain benefits by sharing their computing resources, and nodes in need complete computing tasks through the shared platform. In view of the identity security problems faced in the sharing process, this article introduces blockchain technology to realize the trust between users. All participants must register a secure identity in the blockchain network and conduct transactions in this security system. A K-means algorithm suitable for edge environments is proposed to identify different degradation stages of equipment operation reflected by multiple types of data. Based on the prediction of the fault state for a single type of data, the algorithm uses the historical data of multiple types of data together with the prediction data to predict the fault stage. During the research process, the average optimization energy consumption of K-means algorithm is 14.6% lower than that of GA. On the basis of designing a resource allocation scheme based on blockchain, the problem of how the participants can realize reliable resource use according to the recorded data on the chain is studied. The article implements the verification of the legality of the use of blockchain resources. In addition, a control node is introduced to master the global real-time information of the network to provide data support for the user's choice.

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】2022-12-20

【文献类型】 实验仿真

【DOI】 10.1155/2022/1153208

【Author】 Finogeev, Alexey Deev, Michael Parygin, Danila Finogeev, Anton

【Source】APPLIED ARTIFICIAL INTELLIGENCE

【影响因子】2.777

【主题类别】

区块链技术-协同技术-物联网

【Abstract】The article deals with the creation of an intelligent architecture of the Internet of Things transport environment based on software-defined network (SDN) and blockchain for detecting threats and attacks. The transport environment is created for the monitoring system of critical events in the road transport infrastructure. Blockchain technology is used to authenticate network nodes, store sensor data in a distributed ledger. The network packet clustering method based on a fuzzy neural network is used to detect packets with possible malicious content. The intelligent SDN architecture is a hierarchy of four layers with six levels and includes: a) edge computing layer (sensor nodes and routers level, SDN switches data level), b) fog computing layer (zone server level, control level in SDN controllers), c) a cloud computing layer with data center servers, d) a layer for presenting monitoring results on user devices and applications. Detection of threats and attacks is implemented by validating network nodes and analyzing header fields of IP packets and TCP segments. The intrusion detection system includes a parser and analyzer of data packets, a module for filtering traffic by type, port numbers and other characteristics of packets, a module for synthesizing digital signatures of trusted nodes and their validation, a module for analyzing and clustering packets based on fuzzy logic and a neural network, modules for logging procedures. The probability function of packets belonging to clusters is tuned through deep learning of a five-layer neural network. The conclusion about belonging and degree of similarity with malicious packages is formed using the fuzzy logic apparatus. To train the neural network, the previously synthesized rules of the flow tables and the identified signs of atypical data packets are used. The functionality and effectiveness of the SDN architecture with an intrusion detection system is validated by simulating procedures in the NS3 Simulator system, evaluating authenticity, latency, throughput, response time, and accuracy in detecting atypical data packets.

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】2022-12-20

【文献类型】 实验仿真

【DOI】 10.1080/08839514.2022.2145634

【Author】 Li, Dacan Gong, Yuanyuan Zhang, Xianhui Huang, Min

【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-供应链

【Abstract】Aiming at the problems of long life cycle complex roles of participants, diverse risk factors, poor supervision coverage and difficult information traceability of TCM (Traditional Chinese Medicine) supply chain, this paper constructs a TCM quality safety traceability system based on blockchain technology by analyzing the business process and supervision characteristics of TCM supply chain. Blockchain technology is a new application mode of computer technology such as distributed data storage, peer-to-peer transmission, consensus mechanism, encryption algorithm, and other computer technologies. It has the characteristics of "decentralization, nontampering, transparent and open, and data traceability." The function of nontampering, hash function, and time stamp can effectively solve the traceability problem of TCM supply chain. Through the analysis of the blockchain TCM traceability principle and network structure, combined with the actual business process of TCM traceability, this paper designs the blockchain TCM quality safety traceability system, analyzes its overall structure, data storage mode, digital signature, consensus algorithm, and main functions, and preliminarily constructs a new model of TCM quality safety traceability management based on blockchain technology. Using blockchain technology to realize the quality safety traceability of TCM, we can complete the omnidirectional, multiangle, and wide coverage of the data and information in whole supply chain of TCM breeding and seedling raising, planting, innovation and research and development, processing of TCM pieces, circulation of TCM, and consumption, so as to realize that the main body of responsibility of TCM can be put on record, the production records can be queried, product flow can be traced, quality safety can be forewarned, main responsibility can be identified, regulatory information can be shared, and product source can be traced.

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】2022-12-20

【文献类型】 理论模型

【DOI】 10.1155/2022/7011145

【Author】 Revathi, K. P. Manikandan, T.

【Source】IETE JOURNAL OF RESEARCH

【影响因子】1.877

【主题类别】

区块链应用-实体经济-健康领域

【Abstract】Health monitoring of the infant and child is proposed to provide the assurance to the parents of the infant and child. Several existing features are initiated where the proximity is not identified. Everyday varied health conditions of the infant (0-4 years) and child (6-10 years) are attained to monitor their health constantly. Different vital parameters such as heart rate, blood pressure, temperature and emotions are detected using the sensors. Smart devices such as IR photodetector and wearable gadget sensors are proposed to monitor the health condition of the child and infant. To attain the movement of the infant and child, such as intrusion detection, the accelerometer is used and to monitor the kid, the camera is used to detect the intrusion. To monitor the child's safety outside the environment, the GPS trackers with GSM are fixed to predict the necessary safety condition. IOT monitoring framework detects the zone and captures the information and sends notification to the parents. Different Machine learning algorithms are used to obtain the suitable output with accuracy and performance measures. The IOT monitoring and evaluated data are cross-validated to attain the precise results. The comparative result analysis of all the different algorithms is analysed. In this proposed architecture, the Blockchain technology is used to provide data security and to avoid non-repudiation services. Data reports are analysed where it is stored within the application to indicate whether the state is in a normal/abnormal condition, and then, the alert messages/calls are sent to the parents/guardian.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Block chain technology; GPS; GSM; IOT monitoring; IR photo detector sensors; machine learning; wearable gadget sensors

【发表时间】

【收录时间】2022-12-20

【文献类型】 实验仿真

【DOI】 10.1080/03772063.2022.2150697