Evaluation of Cyber Insecurities of the Cyber Physical System Supply Chains Using α-Discounting MCDM

Abstract

Recently, supply chains (SCs) are applying information technology to enable data sharing among suppliers, instant access to information, and complete tracking of products. With more cybersecurity risks present, such as theft of information, service interruptions, and financial resources risks, the vulnerability of systems is increased. The management of supply chain cybersecurity, which encompasses information systems, software, and infrastructure, is the emphasis of the supply chain's safety measure. There are several serious danger that attack supply chain systems. Most SC Cybersecurity procedures are used to reduce the threats posed by vulnerabilities to those processes. Researchers have mostly concentrated on supply chain-related cyber physical system (CPS) issues. This study makes attempts to classify and evaluate the cybersecurity insecurities of supply chains. In addition, this work provides an update of the analytic hierarchy process (AHP) method called α-discounting multi-criteria decision-making (α-D MCDM), which enables a more uniform assessment of supply chain cyber insecurities. This paper suggests using the α-D MCDM in various ways to address various supply chain evaluation problems.