@inproceedings{520968b7602446ec8e97826e1bb1dfda,
title = "Public auditing for big data storage in cloud computing: a survey",
abstract = "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.",
keywords = "cloud computing, big data, data security, integrity verification, public auditing",
author = "Chang Liu and Rajiv Ranjan and Xuyun Zhang and Chi Yang and Dimitrios Georgakopoulos and Jinjun Chen",
year = "2013",
doi = "10.1109/CSE.2013.164",
language = "English",
series = "IEEE International Conference on Computational Science and Engineering",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "1128--1135",
editor = "Jinjun Chen and Alfredo Cuzzocrea and Yang, {Laurence T.}",
booktitle = "2013 IEEE 16th International Conference on Computational Science and Engineering (CSE 2013)",
address = "United States",
note = "2013 16th IEEE International Conference on Computational Science and Engineering, CSE 2013 ; Conference date: 03-12-2013 Through 05-12-2013",
}