An Integrated Entropy-Weighted Sum Model Technique for Evaluating the Metrics of Cybersecurity under Uncertainty

Abstract

Businesses and organizations handle large amounts of data that may be accessed unauthorized by hackers, so we need to protect this data and other resources from malicious users. Here comes the role of cybersecurity. Cybersecurity is a multidisciplinary field touching on the technical sciences as well as the social and behavioral sciences. Cybersecurity is the result of intelligent cyberattacks. Cybersecurity is crucial to protecting sensitive data stored on any device due to the increasing amount of information. So, this study evaluates cybersecurity using neutrosophic multi-criteria decision-making (MCDM) techniques such as entropy to obtain weight and the weighted sum model (WSM), for ranking and obtaining the best digital footprint of modern organization's cybersecurity. The cybersecurity estimation issue illustrates the validity and great performance of the presented method as (1) its capability to deal with uncertainty phenomena (2) its straightforwardness; and (3) its heightened capacity to discern alternatives. The presented case study shows that the best alternative of this study is A3 which refers to (Digital supply chain risk) as the best one of all alternatives.