• DocumentCode
    2721531
  • Title

    Efficient Conjunctive Keyword-Searchable Encryption

  • Author

    Ryu, Eun-Kyung ; Takagi, Tsuyoshi

  • Author_Institution
    Sch. of Syst. Inf. Sci., FUTURE Univ.-Hakodate, Hakodate
  • Volume
    1
  • fYear
    2007
  • fDate
    21-23 May 2007
  • Firstpage
    409
  • Lastpage
    414
  • Abstract
    A keyword-searchable encryption scheme allows a user with a "trapdoor" for a keyword to efficiently retrieve some of encrypted data containing the specific keyword over a remote server. The scheme for keyword-searchable encryption is considered as one of crucial building blocks that solves the security problems of privacy and data confidentiality in many settings, such as outsourced database systems and mail (or file) servers. However, most existing schemes support only a single keyword for searching, but do not allow for boolean combinations of keywords. It makes the use of schemes impractical in real applications. To address this problem, we propose an efficient construction for conjunctive keyword-searchable encryption, in which the size of trapdoors is almost same as that for searching a single keyword. Our construction is proven secure against adaptive chosen-keyword attacks in the random oracle model under the external co-Diffie-Hellman assumption. Compared to previous works, our construction has much better performance in terms of both computational and communication cost.
  • Keywords
    cryptography; data privacy; information retrieval; adaptive chosen-keyword attacks; co-Diffie-Hellman assumption; conjunctive keyword-searchable encryption; encrypted data; file servers; mail servers; outsourced database systems; random oracle model; trapdoor scheme; Computational efficiency; Cryptography; Data privacy; Data security; Database systems; Electronic mail; File servers; Information retrieval; Keyword search; Public key;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications Workshops, 2007, AINAW '07. 21st International Conference on
  • Conference_Location
    Niagara Falls, Ont.
  • Print_ISBN
    978-0-7695-2847-2
  • Type

    conf

  • DOI
    10.1109/AINAW.2007.166
  • Filename
    4221094