计算机工程 ›› 2019, Vol. 45 ›› Issue (3): 36-40.doi: 10.19678/j.issn.1000-3428.0049086

所属专题: 云计算与大数据专题

• 云计算与大数据专题 • 上一篇    下一篇

一种改进的云存储数据完整性验证方法

吴颖豪,凌捷   

  1. 广东工业大学 计算机学院,广州 511400
  • 收稿日期:2017-10-26 出版日期:2019-03-15 发布日期:2019-03-15
  • 作者简介:吴颖豪(1992—),男,硕士研究生,主研方向为云存储安全;凌捷,教授。
  • 基金项目:

    广东省科技项目(2015B010128014,2016B010107002,2016B090918058);广州市科技计划项目(201604010048,201604010077)。

An Improved Data Integrity Verification Method for Cloud Storage

WU Yinghao,LING Jie   

  1. School of Computers,Guangdong University of Technology,Guangzhou 511400,China
  • Received:2017-10-26 Online:2019-03-15 Published:2019-03-15

摘要:

已有多数云存储数据完整性验证方法效率较低、通信开销较大。为此,提出一种改进的云存储数据完整性验证方法。利用双线性对技术进行数据完整性验证以实现公开验证功能,设计索引表机制进行动态验证,采用随机掩码技术提高方法的安全性。分析与实验结果表明,该方法能有效抵抗服务器的恶意攻击,且具有较低的通信开销与较高的计算效率。

关键词: 数据完整性, 动态验证, 公开验证, 云存储, 双线性对

Abstract:

Most existing cloud storage data integrity verification methods have low efficiency and high communication overhead.To solve this problem,an improved data integrity verification method for cloud storage is proposed.The bilinear pairing technique is used to verify the data integrity in order to realize the public verification function.The indexing table mechanism is designed for dynamic verification.The random mask technique is used to improve the security of the method.Analysis and experimental results show that this method can effectively resist malicious attacks on servers,and has lower communication overhead and higher computing efficiency.

Key words: data integrity, dynamic verification, public verification, cloud storage, bilinear pairing

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