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, September 2012, pp. 2649-2652.
      BibTeX TR2012-066 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 = {https://www.merl.com/publications/TR2012-066}
      • }
  • Research Area:

    Information Security

Abstract:

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.

 

  • Related News & Events

    •  NEWS    ICIP 2012: 4 publications by Anthony Vetro, Shantanu D. Rane, Huifang Sun and Dong Tian
      Date: September 30, 2012
      Where: IEEE International Conference on Image Processing (ICIP)
      MERL Contacts: Anthony Vetro; Huifang Sun
      Brief
      • The papers "An Attribute-Based Framework for Privacy Preserving Image Querying" by Rane, S. and Sun, W., "Emerging Cryptographic Challenges in Image and Video Processing" by Puech, W., Erkin, Z., Barni, M., Rane, S. and Lagendijk, R.L., "A Local Depth Image Enhancement Scheme for View Synthesis" by Wang, Y., Tian, D. and Vetro, A. and "On Modeling the Rendering Error in 3D Video" by Cheung, N.-M., Tian, D., Vetro, A. and Sun, H. were presented at the IEEE International Conference on Image Processing (ICIP).
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