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Configuring a Trusted Cloud Service Model for Smart City Exploration Using Hybrid Intelligence

Author

Listed:
  • Manash Sarkar

    (Birla Institute of Technology, Department of Computer Science and Engineering, Mesra, Ranchi, India)

  • Soumya Banerjee

    (Birla Institute of Technology, Department of Computer Science and Engineering, Mesra, Ranchi, India)

  • Youakim Badr

    (National Institute of Applied Sciences, Lyon, France)

  • Arun Kumar Sangaiah

    (School of Computing Science and Engineering, VIT University, Vellore, India)

Abstract

Emerging research concerns about the authenticated cloud service with high performance of security and assuring trust for distributed clients in a smart city. Cloud services are deployed by the third-party or web-based service providers. Thus, security and trust would be considered for every layer of cloud architecture. The principle objective of cloud service providers is to deliver better services with assurance of trust about clients' information. Cloud's users recurrently face different security challenges about the use of sharable resources. It is really difficult for Cloud Service Provider for adapting varieties of security policies to sustain their enterprises' goodwill. To make an optimistic decision that would be better suitable to provide a trusted cloud service for users' in smart city. Statistical method known as Multivariate Normal Distribution is used to select different attributes of different security entities for developing the proposed model. Finally, fuzzy multi objective decision making and Bio-Inspired Bat algorithm are applied to achieve the objective.

Suggested Citation

  • Manash Sarkar & Soumya Banerjee & Youakim Badr & Arun Kumar Sangaiah, 2017. "Configuring a Trusted Cloud Service Model for Smart City Exploration Using Hybrid Intelligence," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 8(3), pages 1-21, July.
    • Handle: RePEc:igg:jaci00:v:8:y:2017:i:3:p:1-21
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