Security-Aware Efficient Mass Distributed Storage Approach for Cloud Systems in Big Data

  • Keke Gai
  • , Meikang Qiu*
  • , Hui Zhao
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

104 Citations (Scopus)

Abstract

Implementing cloud computing empowers numerous paths to Web-based computing service offerings for meeting diverse needs. However, cloud data security and privacy information protection have also become a critical issue restraining the cloud applications. One of the major concerns in security is that cloud operators will have a chance to reach sensitive data, which dramatically increases users' anxiety and reduces the adoptability of cloud computing in many fields, such as the financial industry and governmental agencies. This paper focuses on this issues and proposes a novel approach that can efficiently split the file and separately store the data in the distributed cloud servers, in which the data cannot be directly reached by cloud service operators. The proposed scheme is entitled as Security-Aware Efficient Distributed Storage (SAEDS) model, which is mainly supported by the proposed algorithms, named Secure Efficient Data Distributions (SED2) Algorithm and Efficient Data Conflation (EDCon) Algorithm. Our experimental evaluations have assessed both security and efficiency performances.

Original languageEnglish
Title of host publicationProceedings - 2nd IEEE International Conference on Big Data Security on Cloud, IEEE BigDataSecurity 2016, 2nd IEEE International Conference on High Performance and Smart Computing, IEEE HPSC 2016 and IEEE International Conference on Intelligent Data and Security, IEEE IDS 2016
EditorsMeikang Qiu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages140-145
Number of pages6
ISBN (Electronic)9781509024025
DOIs
Publication statusPublished - 30 Jun 2016
Externally publishedYes
Event2nd IEEE International Conference on Big Data Security on Cloud, IEEE BigDataSecurity 2016, 2nd IEEE International Conference on High Performance and Smart Computing, IEEE HPSC 2016 and IEEE International Conference on Intelligent Data and Security, IEEE IDS 2016 - New York, United States
Duration: 9 Apr 201610 Apr 2016

Publication series

NameProceedings - 2nd IEEE International Conference on Big Data Security on Cloud, IEEE BigDataSecurity 2016, 2nd IEEE International Conference on High Performance and Smart Computing, IEEE HPSC 2016 and IEEE International Conference on Intelligent Data and Security, IEEE IDS 2016

Conference

Conference2nd IEEE International Conference on Big Data Security on Cloud, IEEE BigDataSecurity 2016, 2nd IEEE International Conference on High Performance and Smart Computing, IEEE HPSC 2016 and IEEE International Conference on Intelligent Data and Security, IEEE IDS 2016
Country/TerritoryUnited States
CityNew York
Period9/04/1610/04/16

Keywords

  • Security-aware
  • big data
  • cloud computing
  • cybersecurity
  • mass distributed storage

Fingerprint

Dive into the research topics of 'Security-Aware Efficient Mass Distributed Storage Approach for Cloud Systems in Big Data'. Together they form a unique fingerprint.

Cite this