Measuring Security Durability of Software through Fuzzy-Based Decision-Making Process

DOI

10.2991/ijcis.d.190513.001How to use a DOI?

Keywords

Software security; Software durability; Security durability; Fuzzy logic; Simple average method; Rating evaluation

Abstract

It is critical to develop secure software with long-term performance and capability to withstand and forestall the growing competition in the software development industry. To enhance the potential of Confidentiality, Integrity, and Availability (CIA), a mechanism is required to built in and secure the durability at the time of software development. Security of a software product is durable if the software works efficiently for user's satisfaction up to the expected duration. Despite the fact that focusing on security which is durable enough considerably reduces maintenance cost, the work done on addressing security as well as durability issues simultaneously during software development remains minimal. To achieve durable security, there is a need to fill the gap between security and durability through identifying and establishing a relationship between security and durability attributes. This article extends the concept of the life span of security services and assesses as well as prioritizes security durability attributes by taking a real-time case study. While building durable security, security experts often face complicated decision problems. Hence, multi-criteria decision-making techniques have been used to solve the issues of measuring conflicting tangible/intangible criteria. In addition, the fuzzy simple average method is used for finding out the rating of security durability attributes. The work has been demonstrated by taking a case study. The results of the study would be useful for security developers to assure the importance of attributes for improving the duration of security.

Copyright

© 2019 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Rajeev Kumar
AU  - Mohammad Zarour
AU  - Mamdouh Alenezi
AU  - Alka Agrawal
AU  - Raees Ahmad Khan
PY  - 2019
DA  - 2019/05/27
TI  - Measuring Security Durability of Software through Fuzzy-Based Decision-Making Process
JO  - International Journal of Computational Intelligence Systems
SP  - 627
EP  - 642
VL  - 12
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.190513.001
DO  - 10.2991/ijcis.d.190513.001
ID  - Kumar2019
ER  -