Search in my way: Practical outsourced image retrieval framework supporting unshared key

The traditional privacy-preserving image retrieval schemes not only bring large computational and communication overhead but also cannot well protect the image and query privacy in multi-user scenarios. To solve the above problems, we first propose a basic privacy-preserving content-based image retr...

Full description

Saved in:
Bibliographic Details
Main Authors: WANG, Xiangyu, MA, Jianfeng, LIU, Ximeng, MIAO, Yinbin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/4424
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-5427
record_format dspace
spelling sg-smu-ink.sis_research-54272019-08-29T17:20:26Z Search in my way: Practical outsourced image retrieval framework supporting unshared key WANG, Xiangyu MA, Jianfeng LIU, Ximeng MIAO, Yinbin The traditional privacy-preserving image retrieval schemes not only bring large computational and communication overhead but also cannot well protect the image and query privacy in multi-user scenarios. To solve the above problems, we first propose a basic privacy-preserving content-based image retrieval (CBIR) framework which significantly reduces storage and communication overhead compared with the previous works. Furthermore, we design a new efficient key conversion protocol to support unshared key multi-owner multi-user image retrieval without losing search precision. Moreover, our framework supports unbounded attributes and can trace malicious users according to leaked secret keys, which significantly improve the usability of multi-source data sharing. Strict security analysis shows that the user privacy and outsourced data security can be guaranteed during the image retrieval process, and the performance analysis using real-world dataset shows that the proposed image retrieval framework is efficient and feasible for practical applications. 2019-05-02T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/4424 info:doi/10.1109/INFOCOM.2019.8737619 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Content-based image retrieval Multi-source data sharing Privacy-preserving Unshared key Computer and Systems Architecture Digital Communications and Networking
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Content-based image retrieval
Multi-source data sharing
Privacy-preserving
Unshared key
Computer and Systems Architecture
Digital Communications and Networking
spellingShingle Content-based image retrieval
Multi-source data sharing
Privacy-preserving
Unshared key
Computer and Systems Architecture
Digital Communications and Networking
WANG, Xiangyu
MA, Jianfeng
LIU, Ximeng
MIAO, Yinbin
Search in my way: Practical outsourced image retrieval framework supporting unshared key
description The traditional privacy-preserving image retrieval schemes not only bring large computational and communication overhead but also cannot well protect the image and query privacy in multi-user scenarios. To solve the above problems, we first propose a basic privacy-preserving content-based image retrieval (CBIR) framework which significantly reduces storage and communication overhead compared with the previous works. Furthermore, we design a new efficient key conversion protocol to support unshared key multi-owner multi-user image retrieval without losing search precision. Moreover, our framework supports unbounded attributes and can trace malicious users according to leaked secret keys, which significantly improve the usability of multi-source data sharing. Strict security analysis shows that the user privacy and outsourced data security can be guaranteed during the image retrieval process, and the performance analysis using real-world dataset shows that the proposed image retrieval framework is efficient and feasible for practical applications.
format text
author WANG, Xiangyu
MA, Jianfeng
LIU, Ximeng
MIAO, Yinbin
author_facet WANG, Xiangyu
MA, Jianfeng
LIU, Ximeng
MIAO, Yinbin
author_sort WANG, Xiangyu
title Search in my way: Practical outsourced image retrieval framework supporting unshared key
title_short Search in my way: Practical outsourced image retrieval framework supporting unshared key
title_full Search in my way: Practical outsourced image retrieval framework supporting unshared key
title_fullStr Search in my way: Practical outsourced image retrieval framework supporting unshared key
title_full_unstemmed Search in my way: Practical outsourced image retrieval framework supporting unshared key
title_sort search in my way: practical outsourced image retrieval framework supporting unshared key
publisher Institutional Knowledge at Singapore Management University
publishDate 2019
url https://ink.library.smu.edu.sg/sis_research/4424
_version_ 1770574765546799104