线上供应链金融平台客户信息安全风险自动评估系统设计

Design of Automatic Customer Information Security Risk Assessment System for Online Supply Chain Financial Platforms

风险因素级别估算过程中,安全风险自动评估权值的绝对误差增加,评估结果可信度降低,由此,提出一种线上供应链金融平台客户信息安全风险自动评估系统。通过分析结果向系统管理员提供周密可靠的安全性分析报告,同时结合评估数据库进行系统硬件部分设计。将人工神经网络应用到客户信息安全风险评估中,估算风险因素的级别,建立自动评估模型,模型在经过训练后能够有效实现线上供应链金融平台的客户信息安全风险自动评估。仿真实验结果表明,所设计系统能够有效减少绝对误差,提升评估结果的可信度。

In the process of risk factor level estimation,the absolute error of security risk automatic evaluation weight increases,and the credibility of evaluation results decreases.Therefore,an automatic customer information security risk assessment system for online supply chain financial platform is proposed.Through the analysis results,it provides the system administrator with a thorough and reliable security analysis report,and designs the hardware part of the system combined with the assessment database.The artificial neural network is applied to the risk assessment of customer information security,the level of risk factors is estimated,and the automatic evaluation model is established.After training,the model can effectively realize the automatic evaluation of customer information security risk of online supply chain financial platform.The simulation results show that the designed system can effectively reduce the absolute error and improve the credibility of the evaluation results.