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作 者:董懿 杨赛 孔令超[1] 李金生 尚云飞 DONG Yi;YANG Sai;KONG Ling-chao;LI Jin-sheng;SHANG Yun-fei(China Yangtze Power Co.,Ltd.Wudongde Power Plant,Kunming 650000,China)
机构地区:[1]中国长江电力股份有限公司乌东德电厂,昆明650000
出 处:《价值工程》2024年第29期8-10,共3页Value Engineering
基 金:中国长江电力股份有限公司资助(水电站计算机监控系统商用密码应用方案研究项目,合同编号:Z522302045)。
摘 要:水电站计算机监控系统是利用电子计算机对水电站电力生产业务全过程进行实时监视和控制,确保水电站安全、稳定、高效运行的重要信息系统,对于保障电力可靠供应具有重要意义。现有的加密方法已不能满足面向水电站计算机监控系统的综合保护要求。因此,提出了一种基于多重生物特征的密钥加密技术。首先,基于虹膜特征信息提取密钥,然后通过灰度分割和梯度分割完成指纹密钥图像的分割。将生物特征与图像进行匹配和绑定,以生成生物特征密钥。然后,利用混合矢量完成基于单次加密和可逆交换加密添加算法。最后,基于公开的数据,完成解码精度和稳定性分析。实验结果表明,该方法具有较高的有效性和可行性,提高了加密的安全性和认证精度。The computer monitoring system for hydropower stations is an important information system which uses electronic computers to monitor and control the entire process of power production in hydropower stations in real time,ensuring the safe,stable,and efficient operation of hydropower stations.It is of great significance for ensuring reliable power supply.The existing encryption methods are no longer able to meet the comprehensive protection requirements for the computer monitoring and control system facing hydropower stations.Therefore,a key encryption technique for multiple biometric features has been proposed.Firstly,the key is extracted based on iris feature information,and then the segmentation of the fingerprint key image is completed through grayscale segmentation and gradient segmentation.Biometric features are matched and bound with images to generate biometric keys.Then,the algorithm based on single pass encryption and reversible exchange encryption was completed using mixed vectors.Finally,decoding accuracy and stability analysis were completed based on publicly available data.The experimental results show that this method has high effectiveness and feasibility,improving the security and authentication accuracy of encryption.
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