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.
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.
作者
洪军
温涛
叶正旺
康珺
HONG Jun;WEN Tao;YE Zheng-wang;KANG Jun(School of Computer Science & Engineering,Northeastern University,Shenyang 110169,China;School of Software,North University of China,Taiyuan 030051,China)
出处
《东北大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2019年第3期327-333,共7页
Journal of Northeastern University(Natural Science)
基金
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)
关键词
数据外包
k最近邻
空间数据库
云计算
查询验证
data outsourcing
k-nearest neighbor
spatial database
cloud computing
query authentication