Data Analytics to Support a Smart Fleet Management Strategy

Pozueco, Laura; Gupta, Nishu; Pañeda, Xabiel G.; Magaña, Víctor Corcoba; Melendi, David; Garcı́a, Roberto; Rionda, Abel

doi:10.1109/mits.2022.3208316

Cited by 3 publications

(1 citation statement)

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“…The meaning of "blockchain technology" specifies broad classes of dispersed ledgers connected to community's agreement (Liu et al 2023;Umrao et al 2022). By enhancing governance enforcement, expanding resource utilization, and efficiently developing peer-to-peer information-sharing programs, blockchain presents a number of advantageous forecasts for variety of execution, scenarios (Pozueco et al 2022). According to McKinsey, blockchain knowledge is reach its full potential in some product that uses centralized response in succeeding five years, which corresponds to the product's current improvement period (Montazerolghaem 2023;Salameh and Tarhuni 2022).…”

Section: Introductionmentioning

confidence: 99%

Integrated Fuzzy Decision Tree based Blockchain Federated Safety- as-a-Service for IIoT

Tripathi,

Umrao

2024

Preprint

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Blockchains are not appropriate for smart appliances because they are expensive to compute, have a lot of overhead bandwidth and cause delays. Improving data delivery, quality, and precision are especially important for ML. The combination of ML and Blockchain technologies make exact outcomes. The IIoT, has quickly been recognized and is attainment huge attention in educational areas with manufacturing, but IoT solitude danger and privacy exposures are emerging by lack of significant security technology. The Blockchain Driven Cyber-Physical system (BDCPS) is supported by IoT-cloud services. In this paper, Integrated Fuzzy Decision Tree based Blockchain Federated Safety-as-a-Service for IIoT (IFDT-BCF-SAS-IIOT) is proposed. In this study, Lightweight Homomorphic Cryptographic Algorithm is run on separate board system. The suggested system uses Delegated Proof of Work Consensus Protocol to resolve problems likes’ lightweight, warehousing transactions, evaporation, and shipment time. The data flow of blockchain is proposed to establish application of integrated fuzzy decision tree to food traceability. The proposed method is executed in Python, performance of proposed technique is analysed with performance metrics like, accuracy, precision, F1-score, recall, specificity, Mean Absolute Error, MSE, RMSE are analyzed.The proposed IFDT-BCF-SAS-IIOT method attains 32.58%, 26.73% and 24.22%, higher Specificity, 23.58%, 20.73%, 19.32% higher precision, 30.18%, 28.66% and 24.32% higher recall, 21.58%, 20.73%, 18.32% lower RMSE analysed with existing techniques like new blockchain federated safety-as-a-service system for IIoT utilizing ML (NBF-SAS-IIOT), IIoT: requirements, architecture, challenges, future research directions (IIOT-SAS-RAC), differential privacy for IIoT: opportunities, applications, challenges (IIOT-SAS-OAC) respectively.

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