混合云网络加密数据自动去重算法优化仿真  

Optimization and Simulation of Automatic Deduplication Method for Encrypted Data in Hybrid Cloud Networks

作　　者：施建[1] 王帅[2] SHI Jian;WANG Shuai(Wuhan University of Biological Engineering,Wuhan Hubei 430015,China;School of Computer Science,Central China Normal University,Wuhan Hubei 430015,China)

机构地区：[1]武汉生物工程学院,湖北武汉430015 [2]华中师范大学计算机学院,湖北武汉430015

出　　处：《计算机仿真》2024年第10期351-354,共4页Computer Simulation

摘　　要：为保证网络用户的加密数据安全性、减少云环境条件下的存储开销,提出一种混合云环境下网络加密数据去重算法优化算法。分析和评估云环境中的威胁,建立数据加密相关条件,通过多项式加强网络用户加密数据的隐私性。设立机密信息求解的多个必要前提条件,避免其它网络用户通过不合法手段获取数据信息。初始化加密数据去重的相关参数,确保数据的双线性映射,利用哈希函数确定数据基本特性,区分数据流行度,对不同流行度的数据设定不同的去重阈值条件,实现网络用户加密数据去重算法设计和优化。经实验证明,所提算法占用的网络空间较小,具备良好的加密去重性能,网络传输量较低。In order to ensure the security of encrypted data of network users and reduce the storage overhead under cloud environment conditions,an optimization algorithm of network encrypted data de-duplication algorithm under a hybrid cloud environment is proposed.Threats in the cloud environment are analyzed and evaluated,and data encryption-related conditions are established to enhance the privacy of network users'encrypted data through polynomials.Multiple necessary preconditions are established for confidential information solving to prevent other network users from obtaining data information through illegal means.The relevant parameters of encrypted data de-duplication are initialized to ensure the bilinear mapping of data,determine the basic characteristics of data using the hash function,differentiate the popularity of data,and set up different de-duplication thresholds for data with different popularity,so as to realize the design and optimization of the de-duplication algorithm of network users'encrypted data.After the experiment,it is proved that the proposed algorithm occupies less network space,has good encryption and de-duplication performance,and has lower network transmission.

关 键 词：云环境 加密数据 去重算法 数据流行度 双线性映射 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]