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
Citation
FENG, Xiaoqin; MA, Jianfeng; FENG, Tao; MIAO, Yinbin; and LIU, Ximeng.
Consortium blockchain-based SIFT: Outsourcing encrypted feature extraction in the D2D network. (2018). IEEE Access. 6, 52248-52260.
Available at: https://ink.library.smu.edu.sg/sis_research/5141
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/ACCESS.2018.2869856