A method for trust evaluation in the cloud environments using a behavior graph and services grouping

Abstract

Purpose

Cloud services have become very popular among researchers and people recently. In such a scenario, identifying reliable cloud services has become very important. The trust value plays a significant role in recognizing reliable providers. The purpose of this paper is to propose a new method to evaluate the trust metric among the cloud providers. The main goal is to increase the precision and accuracy of the trust evaluation method in the cloud environments.

Design/methodology/approach

This paper evaluates the trust metric among the cloud providers and entities by grouping the services and using a behavioral graph. Four parameters, availability, reliability, interaction evolution and identity, are used for evaluating the trust value. The performance of the proposed method is assessed using a simulator which is programmed in the cloud Azure 2013 based on C# codes.

Findings

The method is evaluated through various experiments in terms of precision, recall, error-hit, reliability and availability. The obtained results show that the proposed method has better reliability and availability than the FIFO and QoS models. Also, the results show that increasing the number of groups leads to increasing values of trust, precision and availability, and decreasing values of error-hit.

Originality/value

This paper proposes a trust evaluation method in the cloud environment by grouping the services and using a behavioral graph for improving the amount of availability, error-hit, precision and reliability values.

Citation

Hajizadeh, R. and Jafari Navimipour, N. (2017), "A method for trust evaluation in the cloud environments using a behavior graph and services grouping", Kybernetes, Vol. 46 No. 7, pp. 1245-1261. https://doi.org/10.1108/K-02-2017-0070