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

Manash Sarkar, Soumya Banerjee, Youakim Badr and Arun Kumar Sangaiah
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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

International Journal of Ambient Computing and Intelligence (IJACI), 2017, vol. 8, issue 3, 1-21

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.

Date: 2017
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