Paper Info
Title
Combination of AHP and TOPSIS methods for the ranking of information security controls to overcome its obstructions under fuzzy environment
Abstract
The organizations utilizing the cloud computing services are required to select suitable Information Security Controls (ISCs) to maintain data security and privacy. Many organizations bought popular products or traditional tools to select ISCs. However, selecting the wrong information security control without keeping in view severity of the risk, budgetary constraints, measures cost, and implementation and mitigation time may lead to leakage of data and resultantly, organizations may lose their user's information, face financial implications, even reputation of the organization may be damaged. Therefore, the organizations should evaluate each control based on certain criteria like implementation time, mitigation time, exploitation time, risk, budgetary constraints, and previous effectiveness of the control under review. In this article, the authors utilized the methodologies of the Multi Criteria Decision Making (MCDM), Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to help the cloud organizations in the prioritization and selection of the best information security control. Furthermore, a numerical example is also given, depicting the step by step utilization of the method in cloud organizations for the prioritization of the information security controls.
Year
DOI
Venue
2020
10.3233/JIFS-179692
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
DocType
Volume
Information security,Analytical Hierarchy Process,TOPSIS,fuzzy logic,MCDM,MADM
Journal
38
Issue
ISSN
Citations 
5
1064-1246
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Muhammad Imran Tariq132.10
Shahzadi Tayyaba243.84
Natash Ali Mian300.68
Muhammad Shahzad Sarfraz401.01
Emiro De-la-Hoz-Franco500.68
Shariq Aziz Butt600.34
Vito Santarcangelo7225.36
Dana V. Rad800.34