A hybrid technique for evaluating the trust of cloud services

Cloud computing has become a common desire as an alternative for investing in new IT systems. Every day, more agencies benefit from the services reachable in the cloud. Due to the large storage of information and data in the cloud, concerns about customer confidence or trust in the cloud increase as...

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Vydané v:International journal of information technology (Singapore. Online) Ročník 13; číslo 2; s. 687 - 695
Hlavní autori: Trabay, Doaa, Asem, Azezza, El-Henawy, Ibrahim, Gharibi, Wajeb
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Singapore Springer Singapore 01.04.2021
Springer Nature B.V
Predmet:
Artificial Intelligence
Cloud computing
Computer Imaging
Computer Science
Customer services
Decision making
Fuzzy logic
Image Processing and Computer Vision
Information storage
Machine Learning
Multiple criterion
Organizations
Original Research
Pattern Recognition and Graphics
Software Engineering
Vision
Cloud computing
Fuzzy analytical hierarchy process (FAHP)
Analytical hierarchy process (AHP)
Multi-criteria decision making (MCDM)
Technique for order preference by similarity to ideal solution (TOPSIS)
Cloud service providers’ selection
Fuzzy technique for order preference by similarity to ideal solution (FTOPSIS)
Trust model
ISSN:2511-2104, 2511-2112
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Shrnutí:Cloud computing has become a common desire as an alternative for investing in new IT systems. Every day, more agencies benefit from the services reachable in the cloud. Due to the large storage of information and data in the cloud, concerns about customer confidence or trust in the cloud increase as cloud services have been increased. Given the diversity of cloud service providers, identifying the appropriate cloud services, including trust, which meets organizations requirements, is one of the main challenges in cloud computing. This paper builds a mathematical model to evaluate trust from various opinions based on performance, agility, finance, security, and usability criteria using a hybrid fuzzy logic method and multi-criteria decision-making techniques. By comparing the results obtained with others, it appears that our results are more efficient for organizations and users.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:2511-2104
2511-2112
DOI:10.1007/s41870-020-00609-3