Security durability assessment through fuzzy analytic hierarchy process

Alka Agrawal; Mohammad Zarour; Mamdouh Alenezi; Rajeev Kumar; Raees Ahmad Khan

doi:10.7717/peerj-cs.215

Security durability assessment through fuzzy analytic hierarchy process

PeerJ Comput Sci. 2019 Sep 2:5:e215. doi: 10.7717/peerj-cs.215. eCollection 2019.

Authors

Alka Agrawal¹, Mohammad Zarour², Mamdouh Alenezi², Rajeev Kumar¹, Raees Ahmad Khan¹

Affiliations

¹ Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, Uttar Pradesh, India.
² College of Computer & Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia.

Abstract

Background: Security is an integral aspect of the development of quality software. Furthermore, security durability is even more imperative and in persistent demand due to high investment in recent years. To achieve the desired target of efficacious and viable durability of security services, there needs to be nodal focus on durability along with security. Unfortunately, the highly secure design of software becomes worthless because the durability of security services is not as it should be.

Methods: Security durability attributes have their own impact while integrating security with durability and assessment of security durability plays a crucial role during software development. Within this context, this paper estimates the security durability of the two alternatives versions of a locally developed software called version 1 and version 2. To assess the security durability, authors are using the hybrid fuzzy analytic hierarchy process decision analysis approach.

Results: The impact of the security durability on other attributes has been evaluated quantitatively. The result obtained contains the assessment of security durability. The study posits conclusions which are based on this result and are useful for practitioners to assess and improve the security life span of software services.

Keywords: Fuzzy AHP; Security durability; Software durability; Software security; Triangular fuzzy numbers.

Grants and funding

Funding for this work was provided by the College of Computer and Information Sciences, Prince Sultan University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.