摘要
为了解决数据完整性检验过程中因数据量庞大且分布不均导致的马太效应和资源分配两极分化问题,提出基于一致性哈希的云存储数据完整性检验方法。在哈希环空间中将云存储数据划分为不同数据块,并抽取部分数据进行检验,大幅度降低了检验数据量。通过将抽取的数据映射到Chord环上确定验证节点,并向其发送数据哈希值请求,结合哈希值的重新计算,实现了对云存储数据哈希一致性的分析,从而完成了数据的完整性检验。实验结果显示,该方法减少了计算机资源的消耗占比,提升了数据安全性,在云存储数据完整性检验领域具有良好的应用前景。
To address the Matthew effect and polarization of resource allocation caused by massive and imbalanced data distribution during integrity verification,this study proposes a cloud storage data integrity verification method based on consistent hashing.Dividing cloud storage data into distinct blocks within a hash ring space and sampling partial data for verification significantly reduces the volume of verified data.The sampled data is mapped onto a Chord ring to identify verification nodes,which receive hash value requests.By combining recomputed hash values,the system analyzes the cloud storage data hash consistency,thereby completing integrity verification.Experimental results demonstrate substantially reduced computer resource consumption and enhanced data security.These findings indicate promising application prospects in cloud storage data integrity verification.
作者
朱小娟
ZHU Xiaojuan(School of Information Technology,Anhui Vocational College of Defense Technology,Lu an 237000,China)
出处
《邵阳学院学报(自然科学版)》
2025年第4期1-11,共11页
Journal of Shaoyang University:Natural Sciences Edition
基金
2023安徽省自然科学研究重点项目(2023AH052741)
2024安徽省自然科学研究重点项目(2024AH050198)。
关键词
数据完整性
完整性检验
云存储数据
一致性哈希
云存储
数据安全
data integrity
integrity verification
cloud storage data
consistent hashing
cloud storage
data security
