Abstract
Cloud computing needs service provider with reliable communication for increasing the user trust. As existence of cloud depends on quality of services, evaluation of this trust value needs to be carried out by the cloud. Many of the web services provided by E-commerce, social sites, digital platform maintain this for the faith of user by estimating the reliability of service provider. This paper focuses on a model that can identify real nodes by its behavior in cloud. Here fuzzy max interval values have been evaluated from the transactional behavior of the node in fixed interval. By increase in transaction count, trust value of real node trust increases and trust value of malicious nodes decreases. The work is based on Role based Access Control (RBAC), which has three type of roles (Admin, Data owner, Node). Data owner content security was achieved by AES algorithm and only trusted node can access those resources. Experiment was performed by carrying out simulations on ideal and environment under attack. Analysis of evaluation parameters values shows that proposed model of fuzzy max interval trust is better as compared to other existing Domain Partition Trust Model (DPTM), for identification of malicious nodes.
Highlights
Cloud computing offers web supported services on an efficacy source to the trade development
Implementation of service provider trust evaluation in unreliable cloud environment was done on MATLAB platform
As various techniques involve different steps of working for classifying user query into appropriate category, it is highly required that proposed techniques or existing work should be compared on same experimental environment
Summary
Cloud computing offers web supported services on an efficacy source to the trade development. The client loses the control of information in the cloud environment and an appropriate faith system is necessary to guarantee safety and security of records [1]. Even after engaging every protection method such as installing antivirus software, there exist the threats of information getting hacked when we utilize the internet services of cloud computing [3]. A trust management system assists cloud service suppliers and clients to gather the advantage brought about by cloud computing equipment. A fuzzy max interval based trust model is given which uses centralized data updation. It identifies real node behavior by calculating the trust value and secures the data by using role based model and owner resource encryption.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Computer Science and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
