Attribute-based proxy re-encryption method for revocation in cloud storage: Reduction of communication cost at re-encryption

Yoshiko Yasumura, Hiroki Imabayashi, Hayato Yamana

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

12 Citations (Scopus)

Abstract

In recent years, many users have uploaded data to the cloud for easy storage and sharing with other users. At the same time, security and privacy concerns for the data are growing. Attribute-based encryption (ABE) enables both data security and access control by defining users with attributes so that only those users who have matching attributes can decrypt them. For real-world applications of ABE, revocation of users or their attributes is necessary so that revoked users can no longer decrypt the data. In actual implementations, ABE is used in hybrid with a symmetric encryption scheme such as the advanced encryption standard (AES) where data is encrypted with AES and the AES key is encrypted with ABE. The hybrid encryption scheme requires re-encryption of the data upon revocation to ensure that the revoked users can no longer decrypt that data. To re-encrypt the data, the data owner (DO) must download the data from the cloud, then decrypt, encrypt, and upload the data back to the cloud, resulting in both huge communication costs and computational burden on the DO depending on the size of the data to be re-encrypted. In this paper, we propose an attribute-based proxy re-encryption method in which data can be re-encrypted in the cloud without downloading any data by adopting both ABE and Syalim's encryption scheme. Our proposed scheme reduces the communication cost between the DO and cloud storage. Experimental results show that the proposed method reduces the communication cost by as much as one quarter compared to that of the trivial solution.

Original languageEnglish
Title of host publication2018 IEEE 3rd International Conference on Big Data Analysis, ICBDA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages312-318
Number of pages7
ISBN (Electronic)9781538647936
DOIs
Publication statusPublished - 2018 May 25
Event3rd IEEE International Conference on Big Data Analysis, ICBDA 2018 - Shanghai, China
Duration: 2018 Mar 92018 Mar 12

Publication series

Name2018 IEEE 3rd International Conference on Big Data Analysis, ICBDA 2018

Other

Other3rd IEEE International Conference on Big Data Analysis, ICBDA 2018
Country/TerritoryChina
CityShanghai
Period18/3/918/3/12

Keywords

  • attribute-based encryption (ABE)
  • cloud storage
  • proxy re-encryption

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management

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