CITI has stopped operations in 2014, to co-launch NOVA LINCS THIS SITE IS NOT BEING UPDATED SINCE 2013
citi banner
Home Page FCT/UNL UNL
  Home  \  Publications  \  Book Page Login  
   
banner bottom
File Top
Image Encryption with Content-Based Image Retrieval Properties
Abstract:

In this paper we introduce a new secure cryptographic scheme, named IES-CBIR, specifically designed for images and their outsourced storage and retrieval in large private image repositories. Our solution enables both encrypted storage and querying using Content Based Image Retrieval (CBIR), while preserving privacy. We have implemented a prototype system around the proposed scheme, and experimentally analyzed its performance when compared to similar proposals for privacy-preserving image retrieval. Our results show that IES-CBIR allows more efficient operations than existing proposals, both in terms of time and space overheads, while enabling less restrictive application scenarios.


Edition: Springer

Series: LNCS 8872

Volume: LNCS

ISBN: 0302-9743


Publisher: Springer International Publishing ( Switzerland )


Date: March, 2015


Authors:
File Bottom