articleIEEE Transactions on Information Forensics and SecurityJul 13, 2016Closed access

A Privacy-Preserving and Copy-Deterrence Content-Based Image Retrieval Scheme in Cloud Computing

ZXZhihua XiaXWXinhui WangLZLiangao ZhangZQZhan QinXSXingming Sun

Nanjing University of Information Science and Technology · University at Buffalo, State University of New York

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Abstract

With the increasing importance of images in people's daily life, content-based image retrieval (CBIR) has been widely studied. Compared with text documents, images consume much more storage space. Hence, its maintenance is considered to be a typical example for cloud storage outsourcing. For privacy-preserving purposes, sensitive images, such as medical and personal images, need to be encrypted before outsourcing, which makes the CBIR technologies in plaintext domain to be unusable. In this paper, we propose a scheme that supports CBIR over encrypted images without leaking the sensitive information to the cloud server. First, feature vectors are extracted to represent the corresponding images. After that, the…

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Topics & keywords

Topics
Keywords
  • Computer science
  • Watermark
  • Encryption
  • Cloud computing
  • Content-based image retrieval
  • Image retrieval
  • Plaintext
  • Digital watermarking
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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