基于数据分割与分级的云存储数据隐私保护机制  

Cloud Storage Data Privacy Protection Mechanism Based on Data Segmentation and Hierarchical

作　　者：毛子婷 赵晨 刀挺 MAO Ziting;ZHAO Chen;DAO Ting(Hongyun Honghe Tobacco(Group)Co.,Ltd.,Kunming 650000,China)

机构地区：[1]红云红河烟草(集团)有限责任公司,昆明650000

出　　处：《移动信息》2024年第11期189-192,共4页Mobile Information

摘　　要：文中针对云存储数据隐私面临的严重入侵漏洞问题,提出了一种创新的解决方案—基于数据分割与分级的云存储数据隐私保护机制。传统的数据保护方法存在成本高昂的问题,而文中提出的机制则通过数据的分割与分级,有效地解决了这一问题。首先,详细探讨了该机制的设计原理,强调了其在实践中的可行性。其次,对于该机制的安全性和成本效益进行了深入分析,凸显了其在保护数据隐私方面的优势,并提出了解决传统保护机制所带来的挑战的有效途径。最后,通过3个精心设计的实验,验证了该隐私保护机制及其相关算法的执行效率和可行性,为其在实际应用中的推广提供了有力的支持和保证。该研究旨在促进云存储数据隐私保护领域的进一步发展,为构建更加安全可靠的云存储环境提供了重要的理论和实践指导。In response to the serious intrusion vulnerabilities faced by cloud storage data privacy,an innovative solution-a cloud storage data privacy protection mechanism based on data segmentation and grading-is proposed in the paper.The traditional data protection methods have the problem of high cost,but the mechanism proposed in this paper effectively solves this problem through data segmentation and grading.Firstly,the design principles of this mechanism were discussed in detail,emphasizing its feasibility in practice.Secondly,a thorough analysis was conducted on the security and cost-effectiveness of this mechanism,highlighting its advantages in protecting data privacy and proposing effective ways to address the challenges posed by traditional protection mechanisms.Finally,through three carefully designed experiments,the execution efficiency and feasibility of the privacy protection mechanism and its related algorithms were verified,providing strong support and guarantee for its promotion in practical applications.This study aims to promote further development in the field of cloud storage data privacy protection,providing important theoretical and practical guidance for building a more secure and reliable cloud storage environment.

关 键 词：云存储 数据分割 分级 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]