Secure image retrieval with multiple keys

Haihua Liang; Xinpeng Zhang; Qiuhan Wei; Hang Cheng

doi:10.1117/1.JEI.27.2.023032

26 April 2018 Secure image retrieval with multiple keys

Haihua Liang, Xinpeng Zhang, Qiuhan Wei, Hang Cheng

Author Affiliations +

Journal of Electronic Imaging, Vol. 27, Issue 2, 023032 (April 2018). https://doi.org/10.1117/1.JEI.27.2.023032

Abstract

This article proposes a secure image retrieval scheme under a multiuser scenario. In this scheme, the owner first encrypts and uploads images and their corresponding features to the cloud; then, the user submits the encrypted feature of the query image to the cloud; next, the cloud compares the encrypted features and returns encrypted images with similar content to the user. To find the nearest neighbor in the encrypted features, an encryption with multiple keys is proposed, in which the query feature of each user is encrypted by his/her own key. To improve the key security and space utilization, global optimization and Gaussian distribution are, respectively, employed to generate multiple keys. The experiments show that the proposed encryption can provide effective and secure image retrieval for each user and ensure confidentiality of the query feature of each user.

Citation Download Citation

Haihua Liang, Xinpeng Zhang, Qiuhan Wei, and Hang Cheng "Secure image retrieval with multiple keys," Journal of Electronic Imaging 27(2), 023032 (26 April 2018). https://doi.org/10.1117/1.JEI.27.2.023032

Received: 4 December 2017; Accepted: 3 April 2018; Published: 26 April 2018

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available