Abstract
There are many trust management models for the cloud environment. Selecting an appropriate trust model is not an easy job for a user. This work presents a new trust model called ARICA model which help a user to reduce the reliance on the trust value of provider and third-party feedback. Simultaneously, the ARICA model increases the dependence on the user trust value. Furthermore, the proposed model measured the trust based on five attributes: Availability, Reliability, Integrity, Confidentiality, and Authentication. This paper presents the comparison of the proposed ARICA trust model with two existing schemes. Results show that the proposed model provides better accurate results.
Highlights
Cloud computing is a service that is provided according to the request of the users
Bharathi et al [2] have proposed an extended trust management scheme for cloud computing environment. It composed of four functions: 1) multi-attribute hashing function; 2) real-time service composition; 3) location based service selection; and 4) extended trust management scheme
The proposed model is compared with the following two models: 1) Quality of service-based model (QoS based model): Paul Manuel [32] has proposed a new trust model for a cloud resource called QoS Trust model. It is based on four qualities of service parameters, which are: reliability (RE), availability (AV), turnaround efficiency (TE), and data integrity (DI)
Summary
Abstract—There are many trust management models for the cloud environment. Selecting an appropriate trust model is not an easy job for a user. This work presents a new trust model called ARICA model which help a user to reduce the reliance on the trust value of provider and third-party feedback. The ARICA model increases the dependence on the user trust value. The proposed model measured the trust based on five attributes: Availability, Reliability, Integrity, Confidentiality, and Authentication. This paper presents the comparison of the proposed ARICA trust model with two existing schemes. Results show that the proposed model provides better accurate results
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