• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2012, Vol. 34 ›› Issue (4): 167-170.

• 论文 • 上一篇    下一篇

云中数据正确性和完整性的高效验证

王正飞   

  1. (1.湖南商学院计算机研究所,湖南 长沙 410205;2.国防科学技术大学计算机学院,湖南 长沙 410073)
  • 收稿日期:2011-11-05 修回日期:2012-02-10 出版日期:2012-04-26 发布日期:2012-04-25
  • 基金资助:

    湖南省自然科学基金资助项目(10JJ3041);湖南省哲学社会科学规划基金资助项目(09YBB231);湖南省科技计划项目(2011GK3174);湖南省青年骨干教师培养对象资助

An Efficient Verification for Outsourced Data Based on Subtree

WANG Zhengfei   

  1. (1.Institute of Computer Science,Hunan Business College,Changsha 410205;
    2.School of Computer Science,National University of Defense Technology,Changsha 410073,China)
  • Received:2011-11-05 Revised:2012-02-10 Online:2012-04-26 Published:2012-04-25

摘要:

云计算模式中,数据存储在云服务器提供商,用户需要验证返回数据的正确性和完整性。高效验证是云计算模式中数据安全研究的重点,针对这个问题,本文提出了一种基于子树(Sub_MB)的验证方法。该方法构建Merkle B树存储相关信息,通过计算最小验证子树验证数据正确性和完整性。与MB、EMB和ASB方法相比,该方法验证效率提高15%左右。

关键词: 云存储, 完整性, 正确性, 验证

Abstract:

In the model of cloud computing, data are stored in the cloud service providers, users need to verify the authectication and completeness of the returned data . Efficient verfication are becoming an important aspect of the cloud computing. We propose an approach based on subtree, that constructs an Merkle B tree to store the related information, and verify the authentication and completeness of data through computing the least validation subtree. In contrast with the previous work such as MB and EMB, this approach increases the verification rate by  15%.

Key words: database outsourced;completenesss;authentictity;verfication