Title
Evaluation of Asian Countries using Data Center Security Index: A Spherical Fuzzy AHP-based EDAS Approach
Abstract
The motivation of this paper is to assess and compare Asia Pacific Accreditation Cooperation (APAC) countries’ risk profiles that impact data centers’ (DCs) effectiveness. Because of the importance of DCs, security to protect a DC from external threats and attacks is an issue to be addressed. However, the conflicted nature of the evaluation criteria (such as infrastructure, energy, natural, business, political, and legal risks) makes it difficult to assess the countries’ profiles. The objective of this paper is to provide a systematic evaluation methodology using two different multi-criteria decision making (MCDM) approaches, namely spherical fuzzy analytical hierarchy process (SF-AHP) and EDAS (evaluation based on distance from average solution). While SF-AHP is preferred to prioritize the main and sub-criteria under imprecise decision making environment, EDAS is used to rank the countries’ DC profiles embedding the obtained criteria weights. The results of the methods have been compared with the ranking results presented in the report called as Data Centre Security Index (DCSI) is published by Technology Research Project Corporate (TRPC). Consequently, Singapore, Hong Kong and New Zealand rank in the top three due to their high electrification rates and secure internet servers.
Year
DOI
Venue
2022
10.1016/j.cose.2022.102900
Computers & Security
Keywords
DocType
Volume
Asian countries,Data centre security index,EDAS,Evaluation,Spherical fuzzy AHP
Journal
122
ISSN
Citations 
PageRank 
0167-4048
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Barış Özkan100.34
Mehmet Erdem200.34
Eren Özceylan300.34