Publication Type

Journal Article

Version

publishedVersion

Publication Date

1-2018

Abstract

Privacy-preserving outsourcing algorithms for feature extraction not only reduce users' storage and computation overhead but also preserve the image privacy. However, the existing schemes still suffer from deficiencies induced by security, applications, efficiency and storage. To solve the problems, we implement a consortium chain-based outsourcing feature extraction scheme over encrypted images by using the smart contract, distributed autonomous corporation (DAC), sharding technique, and device to device (D2D) communication, which is secure, widely applied, highly efficient, and has less storage overhead. First, the effectiveness, security, and performance of our scheme are analyzed. Then, the efficiency and storage overhead of our scheme are presented by conducting experimental results.

Keywords

Outsourcing feature extraction, consortium chain, smart contract, DAC, sharding technique, D2D communication

Discipline

Information Security

Research Areas

Cybersecurity

Publication

IEEE Access

Volume

6

First Page

52248

Last Page

52260

ISSN

2169-3536

Identifier

10.1109/ACCESS.2018.2869856

Publisher

Institute of Electrical and Electronics Engineers (IEEE): OAJ / IEEE

Copyright Owner and License

Publisher

Additional URL

https://doi.org/10.1109/ACCESS.2018.2869856

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