考虑群体信任的网络安全态势多维偏好评级方法
Network security situation grade assessment multi-dimensional rating method considering group trust
余高锋 1李登峰2
作者信息
- 1. 三明学院经济与管理学院,福建三明 365004
- 2. 电子科技大学经济与管理学院,成都 611731
- 折叠
摘要
现有网络安全态势评级方法难以同时兼顾专家间信任信息、偏好信息以及客观异质信息等多源信息,为此,建立基于群体信任的网络安全态势多维偏好评级模型.在描述网络安全态势多维偏好评级问题的基础上,提出社会网络中信任信息不确定程度度量方法,进一步建立一种考虑单链信任信息不确定性和内部差异性、多链间信任非补偿性和内部差异性的不完整信任网络构造模型,据此确定专家权重;定义基于级别特征值的客观排序、专家偏好的群体一致性程度和群体非一致性程度,进一步建立包含专家信任信息、偏好信息和评级信息等在内的网络安全态势评级多维偏好分段变权综合优化模型,获得基于二元语义的网络安全态势等级和等级区分度.所提出方法为构建和检验网络安全态势评级提供理论依据,有助于研发先进的网络安全态势评级系统,提高网络安全防护能力.
Abstract
The network security situation grade assessment(NSGA)pays little attention to experts'trust information,preference information and objective information such as multiple information,thus,the NSGA multi-dimensional method based on the group consensus is established.In the sparse network security situation social network generation problem,the uncertainty degree of trust information is defined,further an imperfect trust network construction model considering the trust information uncertainty degrees and internal differences of single path trust,and the non-compensation trust information of multi-path trusts is proposed,and the weight of experts are computed.The objective ranking based on grade eigenvalue is defined,the degrees of group consistency and group inconsistency of experts'preferences are defined,and NSGA multi-dimensional preference piecewise variable synthesis optimization models including expert trust information,preference information and actual information are further established.This method provides a theoretical basis for the construction and test of NSGA,helping to develop advanced NSGA systems and improving the ability of network security protection.
关键词
评级/社会网络/多维偏好分析/网络安全Key words
grade assessment/social network/multidimensional analysis of preference/network security引用本文复制引用
基金项目
国家自然科学基金(72001126)
教育部人文社会科学研究项目(20YJC630196_)
福建省自然科学基金(2020J01925)
出版年
2024
NETL
NSTL
万方数据