云计算环境下非结构化网络数据加密存储方法  

A method for encrypting and storing unstructured network data in cloud computing environment

作　　者：徐维友 吴政 农振昌 王伟 XU Weiyou;WU Zheng;NONG Zhenchang;WANG Wei(Longtan Hydroelectric Power Plant,Longtan Hydroelectric Development Co.,Ltd.,Nanning 530012,China)

机构地区：[1]龙滩水电开发有限公司龙滩水力发电厂,广西南宁530012

出　　处：《电子设计工程》2025年第6期159-163,共5页Electronic Design Engineering

基　　金：国家自然科学基金(61871221)。

摘　　要：由于非结构化网络数据具有动态变化特征,存储过程中安全性不高,容易被破解。为了提高数据存储安全性,提出云计算环境下非结构化网络数据加密存储方法。利用信息熵获取非结构化网络数据敏感度,结合网络数据集熵值,分类待存储数据;建立云边协同框架,保护数据隐私;构建Logistic混沌映射模型,获取映射密钥,对置乱后的图像非结构化网络数据集进行熵值加密,获取密文,由此完成A类文本数据加密存储;在云计算环境下结合向前、向后反馈方式,完成B类图像数据加密存储。实验结果表明,该方法存储A类数据最大风险仅为20%,存储B类数据最大风险仅为2.5%,能够提高非结构化网络数据加密存储安全性,具有实际参考价值。Due to the dynamic characteristics of unstructured network data,the security during storage is not high and it is easy to be cracked.In order to improve the security of data storage,a method for encrypting and storing unstructured network data in a cloud computing environment is proposed.Using information entropy to obtain the sensitivity of unstructured network data,combined with the entropy value of the network dataset,classify the data to be stored.Establish a cloud edge collaboration framework to protect data privacy.Construct a Logistic chaotic mapping model,obtain the mapping key,encrypt the entropy value of the scrambled image unstructured network dataset,obtain the ciphertext,and thus complete the encryption and storage of Class A text data.Combining forward and backward feedback methods in a cloud computing environment to achieve encrypted storage of Class B image data.The experimental results show that the maximum risk of storing Class A data is only 20%,and the maximum risk of storing Class B data is only 2.5%.It can improve the security of encrypted storage of unstructured network data and has practical reference value.

关 键 词：非结构化网络数据 云计算环境 加密存储 数据风险性 熵值加密 

分 类 号：TN918[电子电信—通信与信息系统]