FogCom:SDN-enabled fog node selection for early detection of communicable diseases

Sarkar, Joy Lal; Cowlessur, Sanjeev K.; Ramasamy, V.; Pati, Bibudhendu; Selvi, T. Mahesh; Panigrahi, Chhabi Rani; Majumder, Bibek; Verma, Rishabh; Qureshi, Nawab Muhammad Fasech

doi:10.1016/j.jksuci.2022.10.023

Cited by 7 publications

(1 citation statement)

References 32 publications

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“…This establishes a pattern of cooperation between humans and machines and enables the removal of all functioning programs from the central controller . Blockchain is taken into consideration in several provided ledger technologies that carry out a few processes to record and distribute activities and information in a decentralized technique through several nodes (Sarkar et al 2023). In addition to being a blockchain, distributed ledger systems take other forms, such as directed acyclic graphs (Garg et al 2021).…”

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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Section: Introductionmentioning

confidence: 99%