基于区块链的多特征融合身份标识认证模型

Multi-feature fusion identity authentication model based on blockchain

身份标识认证模型节点设置多为单向结构,认证范围受限制,导致认证识别率下降,为此,本文提出基于区块链的多特征融合身份标识认证模型。预处理多特征基础认证环境,采用多阶段认证形式,布设一定数量的节点,部署模糊特征身份标识认证矩阵,以此为基础构建区块链CNN多特征融合认证模型框架,采用区块链自适应密钥修正,实现身份认证。测试结果表明:设计模型认证识别率可达90%以上,认证准确度更高,认证速度快,误差可控。

The node setting of identity authentication model is mostly one-way structure,and the authentication scope is limited,which leads to the decrease of authentication and recognition rate.Therefore,a multi-feature fusion identity authentication model based on blockchain is proposed.Multi-feature basic authentication environment is preprocessed,multi-stage authentication is adopted,a certain number of nodes are deployed,and fuzzy feature identity authentication matrix is deployed.On this basis,blockchain CNN multi-feature fusion authentication model framework is constructed,and identity authentication is realized by adaptive key correction of blockchain.The test results show that the authentication and recognition rate of the design model can reach more than 90%,indicating that the model has higher accuracy,faster authentication speed and controllable error for the test object.