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

Yoshiko Yasumura, Hiroki Imabayashi, Hayato Yamana

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2018 IEEE 3rd International Conference on Big Data Analysis, ICBDA 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ312-318
ページ数7
ISBN(電子版)9781538647936
DOI
出版ステータスPublished - 2018 5 25
イベント3rd IEEE International Conference on Big Data Analysis, ICBDA 2018 - Shanghai, China
継続期間: 2018 3 92018 3 12

出版物シリーズ

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

Other

Other3rd IEEE International Conference on Big Data Analysis, ICBDA 2018
国/地域China
CityShanghai
Period18/3/918/3/12

ASJC Scopus subject areas

  • 情報システム
  • 情報システムおよび情報管理

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