基于随机策略更新的大数据访问控制方案及实验分析  

Big data access control scheme and experimental analysis based on stochastic strategy update

作　　者：沈锟麒 李中禹 SHEN Kunqi;LI Zhongyu(Lingnan University,Hong Kong,Hong Kong 999077,China;China Minmetals Corporation,Beijing 100044,China)

机构地区：[1]香港岭南大学,中国香港999077 [2]中国五矿集团,北京100044

出　　处：《中国高新科技》2024年第18期41-43,共3页

摘　　要：文章主要探究了基于随机策略更新的大数据访问控制方案的设计内容,并通过仿真实验对其应用效果进行了验证。设计仿真实验,将本方案与基于动态策略更新的隐藏属性加密方案进行对比。结果表明,在属性个数相同的情况下,本方案下系统进行数据加密的用时更短,在保证数据安全的前提下提高了系统运行效率。This paper mainly explores the design content of the big data access control scheme based on the stochastic strategy update,and verifies its application effect through the simulation experiment.The simulation experiment is designed to compare this scheme with the hidden attribute encryption scheme based on the dynamic policy update.The results show that with the same number of attributes,the system takes shorter data encryption under this scheme,which improves the system operation efficiency under the premise of ensuring data security.

关 键 词：随机策略更新 大数据访问控制 数据加密 云服务器 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]