TR2012-066

An Attribute-Based Framework for Privacy Preserving Image Querying


    •  Rane, S.; Sun, W., "An Attribute-Based Framework for Privacy Preserving Image Querying", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/ICIP.2012.6487443, ISSN: 1522-4880, ISBN: 978-1-4673-2534-9, September 2012, pp. 2649-2652.
      BibTeX Download PDF
      • @inproceedings{Rane2012sep,
      • author = {Rane, S. and Sun, W.},
      • title = {An Attribute-Based Framework for Privacy Preserving Image Querying},
      • booktitle = {IEEE International Conference on Image Processing (ICIP)},
      • year = 2012,
      • pages = {2649--2652},
      • month = sep,
      • doi = {10.1109/ICIP.2012.6487443},
      • issn = {1522-4880},
      • isbn = {978-1-4673-2534-9},
      • url = {http://www.merl.com/publications/TR2012-066}
      • }
  • Research Areas:

    Information Security, Multimedia


We are specifically concerned with scenarios in which multimedia data is stored once on the server and the same data is queried by multiple parties. We propose a framework for privacy preserving querying, in which encryption is performed only once, and the ciphertexts are stored on a database server. Rather than using public-key homomorphic cryptosystems, the parties querying the database first derive an "attribute" from their query signal. They can decrypt the server's ciphertext only if their attribute satisfies a specified mathematical condition. This query-specific decryption capability makes attribute based cryptography a vital addition to the secure signal processor's toolkit. We give an example of a construction for privacy preserving querying, in which a client can privately retrieve an image from the server if attribute vectors extracted from the server's and client's images are close enough in Euclidean distance.