Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Secure isolation of cloud consumers legitimacy using fuzzy analytical hierarchy process (AHP)

Secure isolation of cloud consumers legitimacy using fuzzy analytical hierarchy process (AHP) Cloud computing refers to a variety of services available over the internet that deliver computing functionalities from the service providers infrastructure. Their capabilities are deliberated as software and hardware components in the large repository. However, employing secure services is an indispensable issue in cloud computing. Notably, estimating the legitimacy of consumers is a vital hurdle in delivering services to genuine consumers. Hence, an approach for assessing the legitimacy of cloud consumers is suggested in this paper using Fuzzy Analytical Hierarchy Process (AHP). This model regularly monitors the legitimacy of cloud consumers and ranks them using different scales. Then it constructs a judgment matrix based on which the legitimacy indices of cloud consumers are estimated. Experiments have been conducted to prove the appropriateness of our approach and the results are shown. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Journal of Analysis Springer Journals

Secure isolation of cloud consumers legitimacy using fuzzy analytical hierarchy process (AHP)

The Journal of Analysis , Volume 27 (2) – Aug 9, 2018

Loading next page...
 
/lp/springer-journals/secure-isolation-of-cloud-consumers-legitimacy-using-fuzzy-analytical-coglXuxPt5
Publisher
Springer Journals
Copyright
Copyright © 2018 by Forum D'Analystes, Chennai
Subject
Mathematics; Analysis; Functional Analysis; Abstract Harmonic Analysis; Special Functions; Fourier Analysis; Measure and Integration
ISSN
0971-3611
eISSN
2367-2501
DOI
10.1007/s41478-018-0127-0
Publisher site
See Article on Publisher Site

Abstract

Cloud computing refers to a variety of services available over the internet that deliver computing functionalities from the service providers infrastructure. Their capabilities are deliberated as software and hardware components in the large repository. However, employing secure services is an indispensable issue in cloud computing. Notably, estimating the legitimacy of consumers is a vital hurdle in delivering services to genuine consumers. Hence, an approach for assessing the legitimacy of cloud consumers is suggested in this paper using Fuzzy Analytical Hierarchy Process (AHP). This model regularly monitors the legitimacy of cloud consumers and ranks them using different scales. Then it constructs a judgment matrix based on which the legitimacy indices of cloud consumers are estimated. Experiments have been conducted to prove the appropriateness of our approach and the results are shown.

Journal

The Journal of AnalysisSpringer Journals

Published: Aug 9, 2018

References