量子密码学结合Grover搜索的大数据安全认证方案

A Big Data Security Authentication Scheme Based on Quantum Cryptography and Grover Search

随着云计算和大数据技术的不断发展,大数据中心的安全性变得尤为重要,基于此提出一种基于量子密码和Grover搜索的数据中心安全认证方案.首先,构建一个多层安全管理模型,在用户读取数据时,将数据进行分组加密.然后,基于量子密码构建一种用户和数据中心之间的安全认证协议,保证两者之间的通信安全.利用量子Grover搜索算法来寻找密钥处理过程的最优参数,以最小化整个密钥管理的计算复杂度.分析表明,提出的安全认证方案具有较低的计算复杂度和较高的安全性能.

With the continuous development of cloud computing and big data technology,the security of big data center becomes more and more important,so a data center security authentication scheme based on quantum cryptography and Grover search is proposed.Firstly,a multi layer security management model is constructed,and the data is encrypted when the user reads the data.Then,a security authentication protocol between the user and the data center is constructed based on the quantum cryptography,to ensure the communication security between the two.At the same time,the quantum Grover search algorithm is used to find the optimal parameters of the key processing procedure to minimize the computational complexity of the whole key management.The analysis shows that the security authentication scheme has low computational complexity and high security performance.