Balancing Access Control and Privacy for Data Deduplication via Functional Encryption

Joint Authors

Mi, Bo
Long, Ping
Kuang, Fengtian
Liu, Yang

Source

Mathematical Problems in Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-10

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Civil Engineering

Abstract EN

Data deduplication serves as an effective way to optimize the storage occupation and the bandwidth consumption over clouds.

As for the security of deduplication mechanism, users’ privacy and accessibility are of utmost concern since data are outsourced.

However, the functionality of redundancy removal and the indistinguishability of deduplication labels are naturally incompatible, which bring about a lot of threats on data security.

Besides, the access control of sharing copies may lead to infringement on users’ attributes and cumbersome query overheads.

To balance the usability with the confidentiality of deduplication labels and securely realize an elaborate access structure, a novel data deduplication scheme is proposed in this paper.

Briefly speaking, we drew support from learning with errors (LWE) to make sure that the deduplication labels are only differentiable during the duplication check process.

Instead of authority matching, the proof of ownership (PoW) is then implemented under the paradigm of inner production.

Since the deduplication label is light-weighted and the inner production is easy to carry out, our scheme is more efficient in terms of computation and storage.

Security analysis also indicated that the deduplication labels are distinguishable only for duplication check, and the probability of falsifying a valid ownership is negligible.

American Psychological Association (APA)

Mi, Bo& Long, Ping& Liu, Yang& Kuang, Fengtian. 2020. Balancing Access Control and Privacy for Data Deduplication via Functional Encryption. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1197079

Modern Language Association (MLA)

Liu, Yang…[et al.]. Balancing Access Control and Privacy for Data Deduplication via Functional Encryption. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1197079

American Medical Association (AMA)

Mi, Bo& Long, Ping& Liu, Yang& Kuang, Fengtian. Balancing Access Control and Privacy for Data Deduplication via Functional Encryption. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1197079

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1197079