A Quantitative Study on Using the Analytical Hierarchy Process Model in the Prioritization of Information Assurance Defense In-depth Measures

This quantitative study investigates whether the model of the analytical hierarchy method (AHP) can be effectively extended to the prioritisation of in-depth security measures for knowledge assurance. The President, policymakers, analysts, and others have characterised cybersecurity as a pressing national security problem in response to these threats. The strategies used in this research consisted of emailing study participants a survey requesting that five security in-depth information assurance steps, anti-virus, intrusion detection, password, smart cards, and encryption be prioritised, with a range of responses from 1-5 using a Likert scale to take into account standard expense, performance, and perceived ease of use in terms of organisational safety The measures, based on ranking, were then weighted. Using AHP to assess whether the Likert scale and the AHP model could be effectively applied to the prioritisation of information assurance measures to secure organisational computing devices, a pair-wise comparison was then made of each of the five measures. The research findings reject the H0 null hypothesis that AHP does not affect the relationship between the prioritisation of five security in-depth dependent variables by information technology analysts and the independent variables of cost, ease of use, and effectiveness in protecting organisational devices from cyber-attacks.

Author(s) Details

Dr. Rodney Alexander
Hutchinson Community College, Hutchinson, Kansas, USA.

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