Abstract: It is difficult to evaluate the information security of business halls due to the characteristics of customer groups. The existing business hall information security assessment method has a large error. In order to solve this problem, a business hall information security assessment model based on customer group characteristics is constructed. According to the work flow of the business hall, list the relevant data sources and collect the full data of users. Based on the topology of business hall operation network, the characteristic path length, aggregation coefficient and other indicators are calculated to characterize the characteristics of customer groups from multiple perspectives. According to the organization detection technology, the characteristic attributes are analyzed and the information security assessment algorithm is established. Using the whitening weight function of grey number, the information risk level is determined. The experimental results show that, compared with the methods in reference [3] and reference [4], the relative errors of the evaluation results of the designed model are reduced by 15.73% and 21.89%, respectively, indicating that the application effect of the constructed model is more ideal.

Key words: customer group characteristics, Business hall, Information security, Evaluation model, Risk level, Vague set

摘要： 受到客群特征刻画角度的影响，营业厅信息安全评估难度较大。当前已有的营业厅信息安全评估方法误差较大，为解决此问题，构建基于客群特征的营业厅信息安全评估模型。根据营业厅工作流程，列举相关数据源并采集用户全量数据。基于营业厅运营网络拓扑结构，计算特征路径长度、聚集系数等多种指标，从多个角度刻画客群特征。根据组织探测技术分析特征属性，建立信息安全评估算法。利用灰数的白化权函数，确定信息风险等级。实验结果表明：与文献[3]、文献[4]方法相比，所设计模型评估结果的相对误差分别降低了15.73%与21.89%，说明所构建模型的应用效果更为理想。

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