• DocumentCode
    598217
  • Title

    An attribute-based framework for privacy preserving image querying

  • Author

    Rane, Shantanu ; Wei Sun

  • Author_Institution
    Mitsubishi Electr. Res. Labs., Cambridge, MA, USA
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    2649
  • Lastpage
    2652
  • 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.
  • Keywords
    client-server systems; data privacy; feature extraction; image retrieval; medical information systems; multimedia servers; public key cryptography; visual databases; Euclidean distance; attribute vector extraction; attribute-based cryptography; attribute-based framework; database server; encryption; mathematical condition; multimedia data; privacy preserving image querying; public-key homomorphic cryptosystems; query signal; query-specific decryption capability; secure signal processor toolkit; server ciphertext decryption; Data privacy; Databases; Encryption; Protocols; Public key; Vectors; Attribute-based encryption; Bilinear maps; Privacy preserving querying;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6467443
  • Filename
    6467443