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Security of Cloud Computing Using Adaptive Neural Fuzzy Inference System
Joint Authors
Shahzadi, Shumaila
Khaliq, Bushra
Rizwan, Muhammad
Ahmad, Fahad
Source
Security and Communication Networks
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-27
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Abstract EN
Cloud computing can enable organizations to do more by breaking the physical bonds between an IT foundation.
The raised security dangers in cloud computing must be overpowered to profit the new processing perspective that offers an imaginative arrangement of activity for relationship to IT.
The purpose of the study was to reduce security’s obstacles and risks by using protection methods and approaches to ensure maximum data protection, which allows for the user to select the original security level.
An adaptive neural control fuzzy system is used to resolve the unsecure and risky tasks of cloud computing.
Sugeno control methods have been applied for these data protection issues in which the uncertainty because of randomness can be resolved.
ANFIS identified the input parameters according to the current scenario, fuzzified the data, and integrated them into knowledge rule base.
Different membership functions were used for training the data.
In this article, we present a point-by-point examination of the cloud security issue.
We assessed the issue from the cloud building point of view.
In context of this examination, we deduce an unmistakable detail of the cloud security issue and key highlights that ought to be confirmed by any proposed security strategy.
The examination and results show that the parameters dependent on ANFIS are very much intended to distinguish the oddities in cloud condition with least bogus negative rate and high discovery precision.
The performance of Sugeno membership function usually gives better results and ensures the computational efficiency and accuracy of data.
American Psychological Association (APA)
Shahzadi, Shumaila& Khaliq, Bushra& Rizwan, Muhammad& Ahmad, Fahad. 2020. Security of Cloud Computing Using Adaptive Neural Fuzzy Inference System. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1208445
Modern Language Association (MLA)
Shahzadi, Shumaila…[et al.]. Security of Cloud Computing Using Adaptive Neural Fuzzy Inference System. Security and Communication Networks No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1208445
American Medical Association (AMA)
Shahzadi, Shumaila& Khaliq, Bushra& Rizwan, Muhammad& Ahmad, Fahad. Security of Cloud Computing Using Adaptive Neural Fuzzy Inference System. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1208445
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208445