Skip to main content
placeholder image

Privacy-enhanced attribute-based private information retrieval

Journal Article


Abstract


  • © 2018 Elsevier Inc. A private information retrieval protocol allows a user to retrieve wth data item (or k items) of its choice from a database of N data items without revealing its choice w to the server. The traditional private information retrieval protocols based on the notion of oblivious transfer must publish the description of each data item stored in the database in order for the user to make a choice before users run the protocol (each data item's content is not revealed though). Aiming to eliminate the information leakage of the data item in the private information retrieval system, in this work, we propose a novel attribute-based private information retrieval protocol which can enhance the data privacy. In our proposed protocol, each data item is associated with a set of attributes which is not made public to users who are only given a universal attribute set, which reveals no information about individual data item. For each query, the user can only obtain the data items whose attributes are within its chosen attribute set. We provide a rigorous security analysis of our protocol and demonstrate its efficiency and feasibility.

Authors


  •   Lai, Jianchang (external author)
  •   Mu, Yi (external author)
  •   Guo, Fuchun
  •   Jiang, Peng (external author)
  •   Susilo, Willy

Publication Date


  • 2018

Citation


  • Lai, J., Mu, Y., Guo, F., Jiang, P. & Susilo, W. (2018). Privacy-enhanced attribute-based private information retrieval. Information Sciences, 454-455 275-291.

Scopus Eid


  • 2-s2.0-85046796236

Number Of Pages


  • 16

Start Page


  • 275

End Page


  • 291

Volume


  • 454-455

Place Of Publication


  • United States

Abstract


  • © 2018 Elsevier Inc. A private information retrieval protocol allows a user to retrieve wth data item (or k items) of its choice from a database of N data items without revealing its choice w to the server. The traditional private information retrieval protocols based on the notion of oblivious transfer must publish the description of each data item stored in the database in order for the user to make a choice before users run the protocol (each data item's content is not revealed though). Aiming to eliminate the information leakage of the data item in the private information retrieval system, in this work, we propose a novel attribute-based private information retrieval protocol which can enhance the data privacy. In our proposed protocol, each data item is associated with a set of attributes which is not made public to users who are only given a universal attribute set, which reveals no information about individual data item. For each query, the user can only obtain the data items whose attributes are within its chosen attribute set. We provide a rigorous security analysis of our protocol and demonstrate its efficiency and feasibility.

Authors


  •   Lai, Jianchang (external author)
  •   Mu, Yi (external author)
  •   Guo, Fuchun
  •   Jiang, Peng (external author)
  •   Susilo, Willy

Publication Date


  • 2018

Citation


  • Lai, J., Mu, Y., Guo, F., Jiang, P. & Susilo, W. (2018). Privacy-enhanced attribute-based private information retrieval. Information Sciences, 454-455 275-291.

Scopus Eid


  • 2-s2.0-85046796236

Number Of Pages


  • 16

Start Page


  • 275

End Page


  • 291

Volume


  • 454-455

Place Of Publication


  • United States