Title
ISCP: In-depth model for selecting critical security controls.
Abstract
The primary goal of all organizations worldwide is to reduce potential threats and vulnerabilities. An information security control assessment is a far-reaching way to deal with control analysis that can help organizations to measure the adequacy and effectiveness of their present and planned security controls. Availability of adequate resources and proper risk analysis practices should be considered in preventing security breaches in order to achieve returns on security investments. Nonetheless, and despite the necessity for a competent security analysis framework, present frameworks and methodologies for security control analysis lack practical guidelines and mostly depend on subjective judgment and qualitative approaches. This paper proposes an information security control prioritization (ISCP) model that can determine the critical vulnerable controls based on a number of assessment criteria. The model uses techniques from the Order Performance by Similarity to Ideal Solution (TOPSIS) method, which is a sub-method of multiple attribute decision making. The proposed model provides clear guidelines on how to accomplish control analysis in a structured, self-organizing and constituent manner, with minimal overlap. Evaluation of information security controls using TOPSIS as the prioritization method involves a cost-effectiveness analysis, an effective and efficient assessment in terms of testing and selecting information security controls in organizations.
Year
DOI
Venue
2018
10.1016/j.cose.2018.05.009
Computers & Security
Keywords
Field
DocType
Information security,Security controls assessment,Attribute decision making,Prioritization model,TOPSIS,Critical vulnerable controls
Security controls,Risk analysis (business),Computer security,Computer science,Prioritization,Information security,Ideal solution,Security analysis,TOPSIS,Vulnerability
Journal
Volume
ISSN
Citations 
77
0167-4048
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Nadher Al-Safwani100.34
Yousef Fazea202.03
Huda Ibrahim352.51