基于Hopfield网络的网络空间防御能力评估

发布时间：2018-06-28 06:38

本文选题：网络空间 + 信息防御能力　；参考：《控制工程》2017年02期

【摘要】：针对指挥决策者难以对网络空间信息防御能力进行精确、自主可控的评估,分析了网络空间防御能力及其影响因素,构建了网络空间信息防御能力评估指标体系,采用AHP法确定指标权重,把运用模糊综合评价法得到的成功评价数据作为Hopfield神经网络的平衡点,利用Hopfield神经网络记忆与联想功能建立了基于Hopfield神经网络的评估模型对能力指标进行评估,实验结果表明该方法能够较好地反映样本数据数字特征,实现了对网络空间信息防御能力的直观、快速、准确的评估。
[Abstract]:Aiming at the difficulty of commanding decision makers to evaluate accurately and independently the ability of cyberspace information defense, this paper analyzes the capability of cyberspace defense and its influencing factors, and constructs the evaluation index system of cyberspace information defense ability. The index weight is determined by AHP method, and the successful evaluation data obtained by fuzzy comprehensive evaluation method are regarded as the balance point of hopfield neural network. An evaluation model based on hopfield neural network is established by using hopfield neural network memory and associative function. The experimental results show that the proposed method can reflect the digital features of the sample data well. It realizes the intuitive, fast and accurate evaluation of the defense ability of cyberspace information.
【作者单位】：信息工程大学指挥军官基础教育学院;
【基金】：全军军事科研预研项目(13QJ003-22)
【分类号】：TP183;TP393.08;E11

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