Auditing Scheme of Data Integrity for Cloud Data Storage Using Adaptive Trie Tree
PAN Hong-zhi1,LIU Rong1,ZU Ting1,LIU Bo1,FANG Qun(1,2),HE Xin(1,2),WANG Yang(1,2)
1(College of Mathematics and Computer Science,Anhui Normal University,Wuhu 241002,China)2(Key Laboratory of Network and Information Security,Anhui Province,Anhui Normal University,Wuhu 241002,China)
Abstract：This paper investigates the data integrity in cloud storage and proposes a data integrity auditing scheme using self-adaptive Trie tree,which overcomes the problem of low detection efficiency and supports data dynamic updating.By introducing new secondary nodes and encoding methods into the self-adaptive Trie tree,our proposed scheme effectively controls the depth of the tree,supports high efficient dynamic data updating and reduces the communication and computing overhead of system.Furthermore,it significantly improves the performance of auditing data integrity for the cloud storage data,and restrains replay attack and DoS attack.Simulation results verify that the proposed scheme of auditing the dynamic data integrity significantly reduces the computing overhead of auditors,efficiently achieves the data integrity verification for cloud storage and provides a new mechanism for cloud computing security.
潘洪志,刘荣,祖婷,刘波,方群(,),何昕(,),王杨(,). 一种自适应Trie树的云数据完整性验证方案[J]. 小型微型计算机系统, 2018, 39(8): 1754-1758.
PAN Hong-zhi,LIU Rong,ZU Ting,LIU Bo,FANG Qun(,),HE Xin(,),WANG Yang(,). Auditing Scheme of Data Integrity for Cloud Data Storage Using Adaptive Trie Tree. Journal of Chinese Computer Systems, 2018, 39(8): 1754-1758.
2018, Vol. 39 
