RMIT University
Browse

Public auditing for big data storage in cloud computing - a survey

conference contribution
posted on 2024-10-31, 18:10 authored by Chang Liu, Rajiv Ranjan, Xuyun Zhang, Chi Yang, Dimitrios Georgakopoulos, Jinjun Chen
Data integrity is an important factor to ensure in almost any data and computation related context. It serves not only as one of the qualities of service, but also an important part of data security and privacy. With the proliferation of cloud computing and the increasing needs in big data analytics, verification of data integrity becomes increasingly important, especially on outsourced data. Therefore, research topics related to data integrity verification have attracted tremendous research interest. Among all the metrics, efficiency and security are two of the most concerned measurements. In this paper, we provide an analysis on authenticator-based efficient data integrity verification. we will analyze and provide a survey on the main aspects of this research problem, summarize the research motivations, methodologies as well as main achievements of several of the representative approaches, then try to bring forth a blueprint for possible future developments

History

Related Materials

  1. 1.
    DOI - Is published in 10.1109/CSE.2013.164
  2. 2.
    ISBN - Is published in 9780769550961 (urn:isbn:9780769550961)

Start page

1128

End page

1135

Total pages

8

Outlet

Proceedings of 16th IEEE International Conference on Computational Science and Engineering, CSE 2013

Editors

A. Yu, S. G. Ziavras, J. Chen and L. T. Yang

Name of conference

16th IEEE International Conference on Computational Science and Engineering, CSE 2013

Publisher

IEEE

Place published

United States

Start date

2013-12-03

End date

2013-12-05

Language

English

Copyright

© 2013 IEEE

Former Identifier

2006049484

Esploro creation date

2020-06-22

Fedora creation date

2015-01-15

Usage metrics

    Scholarly Works

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC