东北大学学报:自然科学版 ›› 2019, Vol. 40 ›› Issue (3): 327-333.DOI: 10.12068/j.issn.1005-3026.2019.03.005

• 信息与控制 • 上一篇    下一篇

外包空间数据库的完整性保证机制

洪军1,2, 温涛1, 叶正旺1, 康珺2   

  1. (1. 东北大学 计算机科学与工程学院, 辽宁 沈阳110169; 2. 中北大学 软件学院, 山西 太原030051)
  • 收稿日期:2018-01-08 修回日期:2018-01-08 出版日期:2019-03-15 发布日期:2019-03-08
  • 通讯作者: 洪军
  • 作者简介:洪军(1979-),男,山西太原人,东北大学博士研究生; 温涛(1962-),男,辽宁大连人,东北大学教授,博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(61772101,61772124,61170169,61170168); 山西省自然科学基金资助项目(201601D102031, 201601D202038).

Integrity Assurance of Outsourced Spatial Database

HONG Jun1,2, WEN Tao1, YE Zheng-wang1, KANG Jun2   

  1. 1. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China; 2. School of Software, North University of China, Taiyuan 030051, China.
  • Received:2018-01-08 Revised:2018-01-08 Online:2019-03-15 Published:2019-03-08
  • Contact: HONG Jun
  • About author:-
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摘要: 存储在云计算服务提供商上的用户数据可能被篡改或删除,查询完整性验证方案的作用是确保查询用户能够验证查询结果中的数据是真实的且包含所有满足条件的数据.本文在现有验证树结构基础上进行改进,提出了一种空间验证数据结构VSS-tree.利用SS-tree作为基本结构并为其附加验证信息,采用边界球进行区域划分增大了节点的度,有效降低了验证树的高度,并避免了不必要的磁盘访问,从而提高了空间查询验证的处理效率.实验结果表明,该方案比MR-tree具有更好的性能.

关键词: 数据外包, k最近邻, 空间数据库, 云计算, 查询验证

Abstract: User′s data stored on a cloud computing service provider may be tampered or deleted. The query integrity verification scheme enables a query user to verify that the data in the query results is authentic and all the data that meet the criteria are in the query results. As an improvement of the existing authenticated tree schemes, a space authenticated data structure, called verifiable SS-tree(VSS-tree), is proposed to support spatial query and query authentication. The VSS-tree extends each node of SS-tree with authentication information. Boundary sphere is used for region shape which increases the degree of node and thus reduces the height of authenticated tree. Furthermore, it can avoid unnecessary disk access, which improves the processing efficiency of spatial query verification. Experimental results showed that VSS-tree can efficiently support spatial query and has better performance than MR-tree.

Key words: data outsourcing, k-nearest neighbor, spatial database, cloud computing, query authentication

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