Enhanced CoCoSo Framework for Computer Network Security  Evaluation Through Utilizing the Type-2 Neutrosophic  Multi-Attribute Group Decision-Making

Ziqiao Wang; Xiaomu Cai; Zhefeng Yin

Authors

Ziqiao Wang Academic Affairs Office, Yanbian University, Yanji, 133002, Jilin, China
Xiaomu Cai College of Arts, Yanbian University, Yanji, 133002, Jilin, China
Zhefeng Yin Infomation Technology Center, Yanbian University, Yanji, 133002, Jilin, China

Keywords:

Multiple-attribute group decision-making (MAGDM); T2NSs; CoCoSo approach; information entropy; Computer network security evaluation

Abstract

Computer network security (CNS) evaluation is a comprehensive analysis and
assessment of a network system's security to identify potential vulnerabilities and threats,
ensuring the system complies with relevant security standards. The evaluation includes the
effectiveness of technical measures such as firewalls, intrusion detection, access control, and
encryption, to ensure the confidentiality, integrity, and availability of data, ultimately
enhancing overall security defenses. The evaluation of CNS is a multi-attribute group
decision-making (MAGDM) problem. Recently, both the CoCoSo method and the
information entropy approach have been applied to solve MAGDM challenges. Type-2
Neutrosophic Sets (T2NSs) are utilized to represent uncertain data during the network
security evaluation process. In this study, the CoCoSo method is adapted for MAGDM with
T2NSs. Furthermore, the type-2 Neutrosophic Number with CoCoSo (T2NN-CoCoSo)
approach based on T2NN is developed for MAGDM. Finally, a numerical example is
provided to demonstrate the application of the T2NN-CoCoSo approach in CNS evaluation.
The key contributions of this study include: (1) the development of a MAGDM method using
the T2NN-CoCoSo approach with T2NSs, and (2) the proposal of a novel MAGDM approach
for CNS evaluation using the T2NN-CoCoSo method.