• DocumentCode
    2411463
  • Title

    Gradual Identity Exposure Using Attribute-Based Encryption

  • Author

    Huang, Dijiang ; Zhou, Zhibin ; Yan, Zhu

  • Author_Institution
    Sch. of Comput. Inf. & Decision Syst. Eng., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Firstpage
    881
  • Lastpage
    888
  • Abstract
    Many Attribute-Based Encryption (ABE) schemes do not protect receivers´ privacy, such that all the attributes to describe the eligible receivers are transmitted in plaintexts. Hidden policy-based ABE schemes have been proposed to protect receivers´ privacy by using a construction that requires every user in the system to decrypt the ciphertext using all the attributes they possess, which incurs great computation and communication overhead. To address this issue, in this paper, we propose a new concept Gradual Identity Exposure (GIE) to protect data receivers´ identity. Our approach is to reveal the receivers´ information gradually by allowing ciphertext recipients for decrypting the message using their possessed attributes oneby-one (but not all). If the receiver does not possess one attribute in this procedure, the rest of attributes are still hidden. Compared to hidden-policy based solutions, GIE provides significant performance improvement in terms of reducing both computation and communication overhead. We also present a theoretical framework to model the GIE with several new proposed concepts.
  • Keywords
    cryptography; data privacy; attribute-based encryption schemes; ciphertext decryption; gradual identity exposure; hidden policy-based ABE schemes; identity based encryption schemes; receiver privacy protection; Construction industry; Encryption; Polynomials; Privacy; Receivers; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Social Computing (SocialCom), 2010 IEEE Second International Conference on
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    978-1-4244-8439-3
  • Electronic_ISBN
    978-0-7695-4211-9
  • Type

    conf

  • DOI
    10.1109/SocialCom.2010.131
  • Filename
    5591436