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Trust management for internet of things using cloud computing and security in smart cities

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Abstract

Many consumers participate in the smart city via smart portable gadgets such as wearables, personal gadgets, mobile devices, or sensor systems. In the edge computation systems of IoT in the smart city, the fundamental difficulty of the sensor is to pick reliable participants. Since not all smart IoT gadgets are dedicated, certain intelligent IoT gadgets might destroy the networks or services deliberately and degrade the customer experience. A trust-based internet of things (TM-IoT) cloud computing method is proposed in this research. The problem is solved by choosing trustworthy partners to enhance the quality services of the IoT edging network in the Smart architectures. A smart device choice recommendation method based on the changing networks was developed. It applied the evolutionary concept of games to examine the reliability and durability of the technique of trust management presented in this article. The reliability and durability of the trustworthiness-managing system, the Lyapunov concept was applied.A real scenario for personal-health-control systems and air-qualitymonitoring and assessment in a smart city setting confirmed the efficiency of the confidence-management mechanism. Experiments have demonstrated that the methodology for trust administration suggested in this research plays a major part in promoting multi-intelligent gadget collaboration in the IoT edge computer system with an efficiency of 97%. It resists harmful threads against service suppliers more consistently and is ideal for the smart world's massive IoT edge computer system.

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Authors and Affiliations

  1. College of Engineering, IT and Environment at Charles Darwin University, Darwin, Australia

    Mamoun Alazab

  2. Department of Electrical Engineering & Computer Science, Howard University, Washington, DC, 20059, USA

    Gunasekaran Manogaran

  3. College of Information and Electrical Engineering, Asia University, Taichung, 413, Taiwan

    Gunasekaran Manogaran

  4. Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Carlos Enrique Montenegro-Marin

Authors
  1. Mamoun Alazab
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  2. Gunasekaran Manogaran
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  3. Carlos Enrique Montenegro-Marin
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Contributions

Conception and design of study: MA. Acquisition of data: GM. Analysis and/or interpretation of data: CEMM.

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Correspondence to Gunasekaran Manogaran.

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Alazab, M., Manogaran, G. & Montenegro-Marin, C.E. Trust management for internet of things using cloud computing and security in smart cities. Cluster Comput 25, 1765–1777 (2022). https://doi.org/10.1007/s10586-021-03427-9

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  • DOI: https://doi.org/10.1007/s10586-021-03427-9

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