基于多源信息融合的电子政务信息风险评价研究

Research on E-government Information Risk Assessment Based on Multi-source information Fusion

面对电子政务信息运行时存在不同类型风险,设计基于多源信息融合的电子政务信息风险评价方法,以提升电子政务信息安全性。采集引擎采集电子政务信息风险数据,并对数据进行预处理,将电子政务信息风险数据输入到二维卷积感知网络中进行特征映射、反卷积特征提取,从而建立电子政务信息安全风险评价模型。实验结果表明:该方法具备良好的电子政务信息风险数据预处理能力,可高精度有效评价电子政务信息安全风险类型。

Facing different types of risks in the operation of e-govemment information,an e-govemment information risk evaluation method based on multi-source information fusion is designed to improve the security of e-govemment information.The collection engine collects e-govemment information risk data,preprocesses the data,inputs the e-govemment information risk data into the two-dimensional convolution perception network for feature mapping and deconvolution feature extraction,so as to establish the e-gov-emment information security risk evaluation model.The last experimental results show that this method has good e-govemment information risk data preprocessing ability.It can effectively evaluate the types of e-govemment mformation security risks with high accuracy.