计算机科学
脆弱性(计算)
熵(时间箭头)
数据挖掘
GSM演进的增强数据速率
脆弱性评估
网络安全
上游(联网)
基础(线性代数)
节点(物理)
资产(计算机安全)
人工智能
计算机安全
计算机网络
工程类
数学
心理学
物理
几何学
结构工程
量子力学
心理弹性
心理治疗师
作者
L. Wu,Mingqiao Yue,Hengbo Zhang,Chengbo He
标识
DOI:10.1109/icbctis59921.2023.00027
摘要
According to the characteristics of frequent node interaction and obvious differences in applications of marine network, this paper takes the degree of information interaction between assets as the basis for measurement. With the concept of logical edge number introduced, serial static and dynamic elements, such as upstream traffic, downstream traffic, number of logical edges, and number of applications, are taken as the evaluation indexes. Assigned values based on expert experience, the entropy weight method is applied to calculate and verify the comprehensive weight of network assets. According to the preset classification rules and CVSS vulnerability-scoring model, the vulnerability assessment of the virtual marine network is carried out. The results show that the selected indexes can calculate the weight of assets scientifically, and the method can provide a basis for the security optimization of the measured network.
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