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SCBC: Smart city monitoring with blockchain using Internet of Things for and neuro fuzzy procedures

Authors :
Shitharth Selvarajan
Hariprasath Manoharan
Celestine Iwendi
Taher Al-Shehari
Muna Al-Razgan
Taha Alfakih
Source :
Mathematical Biosciences and Engineering, Vol 20, Iss 12, Pp 20828-20851 (2023)
Publication Year :
2023
Publisher :
AIMS Press, 2023.

Abstract

The security of the Internet of Things (IoT) is crucial in various application platforms, such as the smart city monitoring system, which encompasses comprehensive monitoring of various conditions. Therefore, this study conducts an analysis on the utilization of blockchain technology for the purpose of monitoring Internet of Things (IoT) systems. The analysis is carried out by employing parametric objective functions. In the context of the Internet of Things (IoT), it is imperative to establish well-defined intervals for job execution, ensuring that the completion status of each action is promptly monitored and assessed. The major significance of proposed method is to integrate a blockchain technique with neuro-fuzzy algorithm thereby improving the security of data processing units in all smart city applications. As the entire process is carried out with IoT the security of data in both processing and storage units are not secured therefore confidence level of monitoring units are maximized at each state. Due to the integration process the proposed system model is implemented with minimum energy conservation where 93% of tasks are completed with improved security for about 90%.

Details

Language :
English
ISSN :
15510018
Volume :
20
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Mathematical Biosciences and Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.69b338b9ab6d4334aeed58fa9ffff6fa
Document Type :
article
Full Text :
https://doi.org/10.3934/mbe.2023922?viewType=HTML