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

Author:

Selvarajan Shitharth1,Manoharan Hariprasath2,Iwendi Celestine3,Al-Shehari Taher4,Al-Razgan Muna5,Alfakih Taha6

Affiliation:

1. School of Built Environment, Engineering and Computing, Leeds Beckett University, LS1 3HE Leeds, United Kingdom

2. Department of Electronics and Communication Engineering, Panimalar Engineering College, Poonamallee, Chennai-600123, Tamil Nadu, India

3. University of Bolton, United Kingdom

4. Department of Self-Development Skills-Computer Skills, Common First Year Deanship, King Saud University, 11362, Riyadh, Saudi Arabia

5. Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh 11345, Saudi Arabia

6. Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia

Abstract

<abstract> <p>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%.</p> </abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

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