Secure data deduplication with dynamic ownership management in cloud storage (Extended abstract)

Junbeom Hur, Dongyoung Koo, Youngjoo Shin, Kyungtae Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In cloud services, deduplication technology is commonly used to reduce the space and bandwidth requirements of services by eliminating redundant data and storing only a single copy. Deduplication is most effective when multiple users outsource the same data to the cloud storage, but it raises issues relating to security and ownership. Proof-ofownership schemes allow any owner of the same data to prove to the cloud storage server that he owns the data in a robust way. However, if encrypted data is outsourced into the cloud storage and the ownership changes dynamically, deduplication would be hampered. Thus, we propose a secure deduplication scheme that supports dynamic ownership management based on randomized convergent encryption [3] in this study.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017
PublisherIEEE Computer Society
Pages69-70
Number of pages2
ISBN (Electronic)9781509065431
DOIs
Publication statusPublished - 2017 May 16
Event33rd IEEE International Conference on Data Engineering, ICDE 2017 - San Diego, United States
Duration: 2017 Apr 192017 Apr 22

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Conference

Conference33rd IEEE International Conference on Data Engineering, ICDE 2017
CountryUnited States
CitySan Diego
Period17/4/1917/4/22

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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

Cite this

Hur, J., Koo, D., Shin, Y., & Kang, K. (2017). Secure data deduplication with dynamic ownership management in cloud storage (Extended abstract). In Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017 (pp. 69-70). [7929937] (Proceedings - International Conference on Data Engineering). IEEE Computer Society. https://doi.org/10.1109/ICDE.2017.41