• DocumentCode
    738914
  • Title

    New Publicly Verifiable Databases with Efficient Updates

  • Author

    Chen, Xiaofeng ; Li, Jin ; Huang, Xinyi ; Ma, Jianfeng ; Lou, Wenjing

  • Author_Institution
    State Key Laboratory of Integrated Service Networks (ISN), Xidian University, Xi’an, Shannxi, China
  • Volume
    12
  • Issue
    5
  • fYear
    2015
  • Firstpage
    546
  • Lastpage
    556
  • Abstract
    The notion of verifiable database (VDB) enables a resource-constrained client to securely outsource a very large database to an untrusted server so that it could later retrieve a database record and update it by assigning a new value. Also, any attempt by the server to tamper with the data will be detected by the client. Very recently, Catalano and Fiore [17] proposed an elegant framework to build efficient VDB that supports public verifiability from a new primitive named vector commitment. In this paper, we point out Catalano-Fiore’s VDB framework from vector commitment is vulnerable to the so-called forward automatic update (FAU) attack. Besides, we propose a new VDB framework from vector commitment based on the idea of commitment binding. The construction is not only public verifiable but also secure under the FAU attack. Furthermore, we prove that our construction can achieve the desired security properties.
  • Keywords
    Educational institutions; Indexes; Outsourcing; Security; Servers; Vectors; Cloud computing; Secure Outsourcing; Vector Commitment; Verifiable database; cloud computing; secure outsourcing; vector commitment;
  • fLanguage
    English
  • Journal_Title
    Dependable and Secure Computing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5971
  • Type

    jour

  • DOI
    10.1109/TDSC.2014.2366471
  • Filename
    6942283