Interval-Valued Neutrosophic Sets-Based IVNS-RAM Method for Enhanced Security Evaluation in Computer Networks

Computer network security (CNS) evaluation is the process of analyzing and assessing the security of a network system. Its goal is to identify potential security vulnerabilities and threats, ensuring the confidentiality, integrity, and availability of the network. The process typically includes risk assessment, vulnerability scanning, penetration testing, and security policy review. Through these measures, organizations can develop effective security strategies and implement appropriate security controls to prevent data breaches, network attacks, and other security incidents, thereby protecting the security of information assets. The evaluation of CNS is multiple-attribute group decision-making (MAGDM). Recently, the Root Assessment Method (RAM) approach was elucidated to cope with MAGDM. The interval-valued neutrosophic sets (IVNSs) are elucidated as a decision tool for characterizing fuzzy data during the evaluation of CNS. In this study, the interval-valued neutrosophic number combined RAM(IVNN-RAM) approach is elucidated to solve the MAGDM under IVNSs. Conclusively, a numerical study for evaluation of CNS is elucidated to elucidate the IVNN-RAM approach through comparative analysis.