1 research outputs found
Development of trust based access control models using fuzzy logic in cloud computing
Cloud computing is the technology that provides different types of services
as a useful resource on the Internet. Resource trust value will help the cloud
users to select the services of a cloud provider for processing and storing
their essential information. Also, service providers can give access to users
based on trust value to secure cloud resources from malicious users. In this
paper, trust models are proposed, which comes under the subjective trust model
based on the behavior of user and service provider to calculate the trust
values. The trust is fuzzy, which motivated us to apply fuzzy logic for
calculating the trust values of the cloud users and service providers in the
cloud environment. We use a Mamdani fuzzy method with gauss membership function
for fuzzification and triangular membership function for defuzzification.
Parameters such as performance and elasticity are taken for trust evaluation of
the resource. The attributes for calculating performance are workload and
response time. And for calculating elasticity, we have taken scalability,
availability, security, and usability. The fuzzy C-means clustering is applied
to parameters for evaluating the trust value of users such as bad requests,
bogus requests, unauthorized requests, and total requests