DocumentCode :
123339
Title :
Model for cloud computing security assessment based on AHP and FCE
Author :
Zhu Ruo-xin ; Xiao-jie Cui ; Shi-jun Gong ; Hong-kang Ren ; Ke Chen
Author_Institution :
Inf. Eng. Univ., Zhengzhou, China
fYear :
2014
fDate :
22-24 Aug. 2014
Firstpage :
197
Lastpage :
204
Abstract :
As a convenient, on-demand access service model for network based, configurable shared calculation resource pool, cloud computing has many advantages. At the same time, there are many challenges in the development and application of cloud computing, especially in cloud security. For quantification demand of cloud security services, drawing on cloud computing risk control security assess framework related to the international organizations, based on China´s classification protection assessment requirements, the cloud computing security evaluation index system is built using of Delphi method, and the weight of each index entry is calculated using the AHP(Analytic Hierarchy Process). The cloud security assessment model has been validated through examples, and the results show that the proposed model can make quantitative assessment on secure cloud platform effectively, with much more efficiency.
Keywords :
analytic hierarchy process; cloud computing; forecasting theory; formal concept analysis; pattern classification; risk management; security of data; AHP; China; Delphi method; FCE; analytic hierarchy process; classification protection assessment requirements; cloud computing risk control security assess framework; cloud computing security assessment; cloud computing security evaluation index system; cloud security services; configurable shared calculation resource pool; international organizations; on-demand access service model; quantification demand; Computational modeling; Computers; Indexes; Inspection; Object recognition; Qualifications; Analytic hierarchy process; Classified protection; Cloud computing; Fuzzy comprehensive evaluation; Security assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2014 9th International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4799-2949-8
Type :
conf
DOI :
10.1109/ICCSE.2014.6926454
Filename :
6926454
Link To Document :
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