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

Lei Yang; Junyan Niu; Jiangfeng Li

Authors

Lei Yang Hebei Urban and Rural Construction School, Shijiazhuang, 050031, Hebei, China
Junyan Niu Hebei Urban and Rural Construction School, Shijiazhuang, 050031, Hebei, China
Jiangfeng Li College of Science, Jiujiang University, Jiujiang, 332005, Jiangxi, China

Keywords:

Multiple-attribute group decision-making (MAGDM); IVNSs; Root Assessment Method (RAM); Computer network security (CNS) evaluation

Abstract

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.

DOI: 10.5281/zenodo.14191877