基于决策偏好逼近的网络数据安全稳态评估分析

Steady-state Assessment of Network Data Security Based on Decision Preference Approximation

为有效评估网络数据的安全稳态,本文提出基于决策偏好逼近的网络数据安全稳态评估分析方法。根据阶梯层次形式构建网络数据安全稳态评估体系,并利用用户生成内容模式挖掘安全稳态关注点。本文采用二元语义模型呈现决策者偏好信息,根据文档特征权值赋予评估指标属性权值。基于此,考虑决策者偏好信息,获取事件关键词属性权重,根据加权决策矩阵正负理想值,得到数据安全稳态评估结果。实验结果表明:该方法能够有效且全面地评估网络数据的安全稳态。

In order to effectively evaluate the security steady state of network data, this study proposes a method of network data security steady state assessment based on decision preference approximation. The network data security steady-state assessment system is constructed according to the hierarchical form, and the security steady-state concerns are mined using user-generated content mode. Then, a binary semantic model is used to present decision-maker preference information, and attribute weights of evaluation indicators are given according to document feature weights. Based on this, considering the preference information of decision-makers, the attribute weights of event keywords were obtained, and the steady-state assessment results of data security were obtained according to the positive and negative ideal values of the weighted decision matrix. Experimental results show that this method can effectively and comprehensively evaluate the steady state of network data security.