现代防御技术 ›› 2018, Vol. 46 ›› Issue (5): 143-151.DOI: 10.3969/j.issn.1009-086x.2018.05.22

• 军事电子信息系统 • 上一篇    下一篇

网络空间信息防御作战指挥效能评估研究

王劲松, 王小超, 李世楷   

  1. 战略支援部队信息工程大学,河南 郑州 450001
  • 收稿日期:2017-07-15 修回日期:2018-01-29 出版日期:2018-10-30 发布日期:2020-11-25
  • 作者简介:王劲松(1965-),男,河南确山人。教授,硕士,主要从事指挥决策支持技术及信息作战等方面的教学与科研工作。通信地址:450001 河南省郑州市高新区科学大道62号 E-mail:702174724@qq.com
  • 基金资助:
    全军军事类研究生资助课题(2014JY168)

Effectiveness Evaluation of Cyberspace Information Defense Combat Command

WANG Jin-song, WANG Xiao-chao, LI Shi-kai   

  1. PLA Strategic Support Force Information Engineering University,Henan Zhengzhou 450001,China
  • Received:2017-07-15 Revised:2018-01-29 Online:2018-10-30 Published:2020-11-25

摘要: 通过对网络空间信息防御作战指挥效能评估需求的详细分析,依据指标体系构建原则和评估影响因素,构建了评估指标体系、评估模型和评估框架。针对传统指挥效能评估方法中出现的参评人员评测随机性、主观不确定性等问题,提出了基于模糊神经网络的网络空间信息防御作战指挥效能评估模型。利用模糊神经网络的自学习、自适应和强容错性等优势优化网络的连接权值和模糊参数,弱化了效能评估中的人为因素。通过仿真实验验证了模型的可行性,为网络空间信息防御作战指挥系统建设提供指导和借鉴。

关键词: 网络空间, 信息防御, 作战指挥, 效能评估, 指标体系, 模糊神经网络

Abstract: Based on the analysis of the effectiveness evaluation requirements of the cyberspace information defense combat command, an evaluation index system, evaluation model and evaluation framework are constructed according to the construction principles of the index system and the influencing factors. In traditional command effectiveness evaluation method of the contestant personnel evaluation, the problems such as randomicity and subjective uncertainty inevitably occur. Based on the fuzzy neural network, a network defense battle command effectiveness evaluation model of space information is proposed. The advantages of the fuzzy neural network such as self-learning, adaptive and strong fault tolerance are used to optimize the connection weights and fuzzy parameters of the network, and weaken the human factors in the effectiveness evaluation. The feasibility of the model is verified through the simulation experiment, which provides guidance and reference for the construction of cyberspace information defense combat command system.

Key words: cyberspace, information defense, operational command, effectiveness assessment, index system, fuzzy neural network

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