Visible to the public A Remote Data Integrity Checking Scheme for Big Data Storage

TitleA Remote Data Integrity Checking Scheme for Big Data Storage
Publication TypeConference Paper
Year of Publication2017
AuthorsChen, X., Shang, T., Kim, I., Liu, J.
Conference Name2017 IEEE Second International Conference on Data Science in Cyberspace (DSC)
ISBN Number978-1-5386-1600-0
KeywordsBalanced update tree, Big Data, big data storage, data block, data deletion, data integrity, Data models, data privacy, data structures, dynamic update, fine-grained update, Indexes, mapping relationship, Memory, privacy, pubcrawl, Remote data integrity checking, remote data integrity checking scheme, Scalability, Servers

In the existing remote data integrity checking schemes, dynamic update operates on block level, which usually restricts the location of the data inserted in a file due to the fixed size of a data block. In this paper, we propose a remote data integrity checking scheme with fine-grained update for big data storage. The proposed scheme achieves basic operations of insertion, modification, deletion on line level at any location in a file by designing a mapping relationship between line level update and block level update. Scheme analysis shows that the proposed scheme supports public verification and privacy preservation. Meanwhile, it performs data integrity checking with low computation and communication cost.

Citation Keychen_remote_2017