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作 者:余高锋 李登峰 YU Gao-feng;LI Deng-feng(School of Economics and Management,Sanming University,Sanming 365004,China;School of Management and Economics,University of Electronic Science and Technology of China,Chengdu 611731,China)
机构地区:[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
出 处:《控制与决策》2024年第5期1718-1726,共9页Control and Decision
基 金:国家自然科学基金项目(72001126);教育部人文社科项目(20YJC630196);福建省自然科学基金项目(2020J01925)。
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.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.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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