融合量子遗传算法在政务数据保密中的应用  

Application of fusion quantum genetic algorithm in government affairs data security

作　　者：宿晓丹 宦国杨 杨博文 SU Xiao-dan;HUAN Guo-yang;YANG Bo-wen(Nanjing Institute of Electronic Engineering,Nanjing 210023,China)

机构地区：[1]南京电子工程研究所,南京210023

出　　处：《信息技术》2025年第4期35-39,共5页Information Technology

基　　金：国家社科基金项目课题(11CTJ007)。

摘　　要：针对政务大数据融合共享过程中加密强度不足的问题,以政务大数据数据共享加密过程为研究对象,基于数据编织架构的数据采集加密共享过程,使用不同量子存储单元的量子遗传算法,在MATLAB下比较加密算力和破解算力的关系,研究量子遗传算法的加密应用效果。引入模拟量子计算后,在有限的非量子算力设备支持下,可以实现接近量子计算的加密强度。经过比对,认为采用数据编织架构开展政务数据集成和共享时,适合采用量子遗传算法,数据加密强度显著增强。In response to the issue of insufficient encryption strength in the process of government big data fusion and sharing,the encryption process of government big data sharing is taken as the research object.The data collection,encryption,and sharing process is based on a data weaving architecture.Quantum genetic algorithms with different quantum storage units are used to compare the relationship between encryption and cracking computing power in MATLAB,and the encryption application effect of quantum genetic algorithms is studied.After the introduction of simulated quantum computing,with limited support from non quantum computing devices,encryption strength close to quantum computing can be achieved.After comparison,it is believed that quantum genetic algorithm is suitable for integrating and sharing government data using a data weaving architecture,and the data encryption strength is significantly enhanced.

关 键 词：数据编织 量子遗传算法 数据加密 数据安全 政务大数据 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]